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Overview of Data Security Governance at Home and Abroad Journal of Information Security Reserach    2021, 7 (10): 922-.   Abstract （1272）      PDF （3579KB）（791）       Knowledge map    Save With the rapid development of digital economy, privacy infringement, data leakage, platform monopoly, misinformation and other issues emerge one after another, increasingly becoming an important issue that threatens individual rights, industrial development and national security. This article, on the national policy and law level, sorts out four categories of data governance, that is, personal data protection, cross-border data flow regulation, data market governance, and data content management. Countries and regions like United States, European Union and China are the centers of global digital economy. This article summarizes their practices and experience in above-mentioned four categories, and on this basis, puts forward some suggestions on strengthening China's data security governance system and capacity building, that is, further improving the legal system to compete for the leadership of the digital economy, deeply participating in global data governance to enhance the international voice of rule-making, and strengthening support and oversight of new technologies and applications to seize new heights in digital economy governance. Reference | Related Articles | Metrics

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Research on Data Classification and Grading Method Based on Data Security Law Journal of Information Security Reserach    2021, 7 (10): 933-.   Abstract （894）      PDF （2157KB）（783）       Knowledge map    Save The Data Security Law of the People's Republic of China (hereinafter referred to as the Data Security Law) has been formally promulgated, which clearly stipulates that the state establishes data classification and grading protection system, and implements classified and graded protection for data. However, at present, the relevant standards and specifications of data classification and grading in China are relatively lacking, and the practical experiences that can be used for reference in various industries are relatively insufficient. How to effectively implement the data classification and grading protection is still a thorny problem. Based on Article 21 of the Data Security Law, this paper analyzes the factors such as the influence object, influence breadth and influence depth after the data is damaged, puts forward the principles and methods of data classification and data grading, and gives an implementation path of data classification and grading according to the application scenarios and industry characteristics of the data, which provide a certain reference for data classification and grading protection of various industries. Reference | Related Articles | Metrics

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An Overview of Application and Technology of Artificial Intelligence in Cybersecurity Journal of Information Security Reserach    2022, 8 (2): 110-.   Abstract （983）      PDF （1142KB）（744）       Knowledge map    Save Compared with the developed countries, the basic research and technology application in the field of artificial intelligence in China started later, especially the application of artificial intelligence in the important field of network security. Domestic and abroad disparity is still very obvious, which seriously affects the improvement of China's cybersecurity capability. This paper elaborates the relationship between artificial intelligence, network attack and network defense, and widely investigates the application status of artificial intelligence in major information security companies at home and abroad. It points out that APT detection, 0day vulnerability mining and cloud security are three core areas that affect the level of cybersecurity capability, This paper deeply analyzes the key technologies of artificial intelligence technology applied in these three fields, and puts forward the safety risks of artificial intelligence technology, and points out that artificial intelligence technology is not a panacea for all diseases, This Paper provides a scientific reference for the further research and application of artificial intelligence technology in China's information security industry. Reference | Related Articles | Metrics

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Research on a New Generation Network Security Framework for Network Security Assurance of Major Event Journal of Information Security Reserach    2022, 8 (5): 492-.   Abstract （372）      PDF （5642KB）（613）       Knowledge map    Save Due to the open network environment，complex information system and widespread social concern, major event faces increasing network security risks. The traditional plugin network security protection is more and more difficult to adapt to the increasingly complex network security situation of major event. Based on the network security assurance work of 2022 Beijing Winter Olympic Games and 2022 Beijing Winter Paralympic Games, this paper systematically sorts out the main characteristics of network security assurance for major event, puts forward a new generation network security framework, and analyzes the structure, characteristics and models of the framework in detail. The “zero accident” in the network security assurance work of Beijing Winter Olympic Games and Beijing Winter Paralympic Games shows that the framework can effectively guide the network security assurance work for major event, and provides a successful model for network security assurance work for major event. Related Articles | Metrics

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Data Security Governance Technology and Practice in Big Data Applications Journal of Information Security Reserach    2022, 8 (4): 326-.   Abstract （490）      PDF （2139KB）（586）       Knowledge map    Save The wide application of big data technology makes data burst into unprecedented value and vitality. However, due to the large amount of data, multiple data sources, and complex data access relationships, data security lacks refined and standardized management, and the importance of data security governance becomes increasingly prominent. By analyzing data security problems in existing big data applications and common pitfalls in data security governance, this paper puts forward the ideas, principles and methods of data security governance, and with classification and grading as the entry point, presents the technical architecture of data security governance. Finally, taking the big data platform as an example, presents the application practice of data security governance technology. Reference | Related Articles | Metrics

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Review of Multi-Party Secure Computing Research Journal of Information Security Reserach    2021, 7 (12): 1161-.   Abstract （676）      PDF （1190KB）（496）       Knowledge map    Save With the rapid development of the Internet, data resources have become an important competitiveness of all industries. However, as the owners and users of data cannot beunified, problems such as data security and personal privacy become increasingly serious,resultingin the phenomenon of "data islands". Secure Multi-Party Computation (MPC)promises tosolve these problems by ensuring both privacy of data input and correctness of dataComputation, and by ensuring that data input from participating parties is not compromisedthrough protocols without third parties. Based on the definition and characteristics ofmulti-party secure computing, this paper introduces the research status, component model andapplication scenarios of multi-party secure computing. Reference | Related Articles | Metrics

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Current Situation, Analysis and Prospect of Cross Border Data Flow Wang Na, Gu Mianxue, Wu Gaofei, Zhang Yuqing, Cao Chunjie Journal of Information Security Reserach    2021, 7 (6): 488-495.   Abstract （881）      PDF （1439KB）（485）       Knowledge map    Save With the advent of the era of big data, the process of globalization is accelerated, the economic and political exchanges between countries become more frequent, the competition for data becomes more and more fierce, and the cross-border flow of data is inevitable. Although the European Union, the United States and other major international economies give priority to the deployment of cross-border data, which provides effective reference for different countries, with the increasingly urgent demand for cross-border data flow, the related issues of national security and personal data protection are gradually highlighted. First, by combing existing research works on cross-border data flow, starting from the concept of data cross-border, we summarize their advantages and disadvantages; then, starting from the core data security technology and regulatory mechanism, we systematically analyze and compare cross-border data current situation of the flow of multiple countries ; finally, based on the collation and summary of existing works, we discuss the shortcomings and challenges of China's existing data cross-border management system, put forward targeted suggestions and solutions, and look forward to the research and development trends in this field.  Reference | Related Articles | Metrics

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ChatGPT’s Applications, Status and Trends in the Field of Cyber Security Journal of Information Security Reserach    2023, 9 (6): 500-.   Abstract （528）      PDF （2555KB）（467）       Knowledge map    Save ChatGPT, as a large language model technology, demonstrates extremely strong language understanding and text generation capabilities. It has not only attracted tremendous attention across various industries but also brought new transformations to the field of cybersecurity. Currently, research on ChatGPT in the cybersecurity field is still in its infancy. To help researchers systematically understand the research status of ChatGPT in cybersecurity, this paper provides the first comprehensive summary of ChatGPT’s applications in the field of cybersecurity and potential accompanying security issues. The article first outlines the development of large language model technologies and briefly introduces the technology and features of ChatGPT. Then, it discusses the enabling effects of ChatGPT in the cybersecurity field from two perspectives: assisting attacks and assisting defense. This includes vulnerability discovery, exploitation and remediation, malicious software detection and identification, phishing email generation and detection, and potential use cases in security operations scenarios. Furthermore, the article delves into the accompanying risks of ChatGPT in the cybersecurity field, including content risks and prompt injection attacks, providing a detailed analysis and discussion of these risks. Finally, the paper looks into the future of ChatGPT in the cybersecurity field from the perspectives of security enablement and accompanying security, pointing out the direction for future research on ChatGPT in the cybersecurity domain. Reference | Related Articles | Metrics

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Data Grading Journal of Information Security Reserach    2021, 7 (10): 969-.   Abstract （312）      PDF （498KB）（443）       Knowledge map    Save Reference | Related Articles | Metrics

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Computing Force Network Security Architecture and Data Security Governance Technology Journal of Information Security Reserach    2022, 8 (4): 340-.   Abstract （597）      PDF （2657KB）（434）       Knowledge map    Save As a new information infrastructure which provides deep integration of computing force and network services, computing force network (CFN) provides important support for national cyber power, digital China and smart society. At present, the planning and construction of CFN has entered a critical period, and the work related to CFN security is gradually advancing, but the systematic security architecture has not been formed. This paper summarizes the relevant research progress of CFN, analyzes the security opportunities and challenges faced by CFN, and proposes a security reference architecture based on sorting out the key security technologies, so as to provide a reference for promoting the construction of CFN security system and deploying CFN security mechanism.Key words computing force network; new information infrastructure; security reference architecture; orchestration security; privacy computation; data security; artificial intelligence Related Articles | Metrics

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Open Source Software Vulnerability DataBase Overview Journal of Information Security Reserach    2021, 7 (6): 566-574.   Abstract （502）      PDF （2349KB）（410）       Knowledge map    Save  In recent years, with the continuous shortening of the software development cycle, a large number of open source code is used in modern software projects, and software developers tend to focus only on the security of the part of the project code they are responsible for, and rarely pay attention to the security of the open source code used in the project, and it is difficult for users to correspond the vulnerability entries in the traditional vulnerability repository to the current software version. and existing vulnerabilities There are some differences between existing version control schemes and those of open source code, so a vulnerability repository that can accurately collect open source code vulnerability intelligence and precisely match vulnerabilities is essential. This paper first introduces the potential security challenges brought by the widespread use of open source code, then analyzes in detail the existing open source vulnerability repository platforms and conducts a comparative study of existing open source vulnerability databases from several dimensions, then gives the problems and challenges faced by the construction of current open source vulnerability databases, and finally gives some suggestions for building open source vulnerability databases. Reference | Related Articles | Metrics

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Research and Thinking on the Technical Framework of Data Security  in the Field of Transportation Journal of Information Security Reserach    2022, 8 (11): 1092-.   Abstract （192）      PDF （1237KB）（398）       Knowledge map    Save In recent years, in the continuous advancement of the construction of “digital government”, the “data gap” and “data island” between government departments have been gradually broken. As the core resource of digital government, data is an important driving force for national development，and also the most valuable core asset. With the largescale aggregation, integration and sharing of various data resources, a series of data securityrelated problems have emerged. For example, due to the high concentration of data, data is more likely to become the target of attacks, and a large number of illegal operations by internal personnel lead to data tampering and greatly increase. In order to solve the problem of data security in the field of transportation, this paper makes an indepth analysis of the main challenges of data security in the field of transportation technology and transportation, and proposes to create an “overall technical architecture of data security management and control”, and focuses on thinking and discussing the full life cycle security of data and data security operation    in the field of transportation. Data security management is not within the scope of this paper. Reference | Related Articles | Metrics

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Practical Exploration of Data Security Governance Journal of Information Security Reserach    2021, 7 (10): 915-.   Abstract （271）      PDF （935KB）（369）       Knowledge map    Save With the in-depth implementation of the “Data Security Law” and the further development of data element marketization, the technologies and practices related to data security governance will also develop continuously. However, so far, neither a unified understanding of the relevant practices of data security governance has been formed within the industry, nor relevant national and industrial standards have been introduced. This paper attempts to explore an effective data security governance practice from the aspects of data security governance objectives and methods. This paper also puts forward a set of data security governance system architecture, and describes in detail one by one the requirements of data security governance practice mechanism in terms of management, technology, evaluation and operation, etc., with key measures and technical requirements involved in the practice of data security governance introduced. Reference | Related Articles | Metrics

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A Survey of Deep Face Forgery Detection Journal of Information Security Reserach    2022, 8 (3): 241-.   Abstract （473）      PDF （2995KB）（367）       Knowledge map    Save Video media has developed rapidly with the popularity of the mobile Internet in recent years. At the same time, face forgery technology has also made great progress with the development of computer vision. Face forgery technology can be adopted to make interesting short video applications, but due to characteristics such as high fidelity, easy and quick generation, its malicious use poses a great threat to social stability and information security. Therefore, how to detect fake videos of faces in the Internet has become an urgent problem to be solved. With the efforts of scholars in the world, forgery detection has also made great breakthroughs in recent years. Therefore, this review aims to summarize the existing forgery detection methods in detail. In particular, we first introduce the forgery detection data set, and then summarizes the existing methods from the aspects of forgery video trace, neural network architecture, temporal information of videos, face identity information, and generalization of detection algorithms. Then we compare and analyze their corresponding detection results. Finally, we summarize the research directions and existing problems of deep forgery detection and discusses the challenges and development trends, providing reference for relevant research.  Reference | Related Articles | Metrics

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Establish the baseline of Cyberspace Security in accordance with the regulation on security protection of key information infrastructures Journal of Information Security Reserach    2021, 7 (10): 890-.   Abstract （237）      PDF （685KB）（358）       Knowledge map    Save Related Articles | Metrics

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Research on Security Technologies in Data Security Governance Journal of Information Security Reserach    2021, 7 (10): 907-.   Abstract （513）      PDF （1444KB）（357）       Knowledge map    Save  In recent years, the data-centric digital economy has been developed rapidly and its proportion in GDP continuously increase. However, behind the development, data security incidents occur frequently, and data security issues have attracted much attention. Under the background that data is regarded as a factor of production, data security governance with the goals of standardizing data processing activities, improving data security capabilities, and building a healthy data ecology is the key to make the data industry continue to develop. Though the "Data Security Law of the People’s Republic of China" provides direction for data security governance, the implementation of data security governance also requires corresponding technologies. In this paper, we introduce the basic concepts of data security, propose the data life cycle for data security governance, and study the applicable technologies at each stage of the data life cycle. After that, under the guidance of privacy protection and data ownership, we respectively introduce two technical routes of data security governance. Finally, we propose the ideas of data security governance. Reference | Related Articles | Metrics

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Data Security and Governance in the Context of Digital Economy Journal of Information Security Reserach    2022, 8 (4): 316-.   Abstract （258）      PDF （452KB）（353）       Knowledge map    Save Related Articles | Metrics

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Secure Sharing Scheme of Sensitive Data Based on Blockchain Journal of Information Security Reserach    2022, 8 (4): 364-.   Abstract （383）      PDF （2009KB）（345）       Knowledge map    Save At present, blockchain technology mainly realized the protection and verification of data subjects in data sharing applications, and for sensitive data, it should also focus on the storage and supervision of user behavior and authorized information. In this regard, this paper proposes a blockchainbased secure sharing scheme for sensitive data: a basic environment for secure sharing and data verification is built through technologies such as consortium blockchain and interplanetary file system. Then the secure sharing of sensitive data, reliable storage of user’s behavior and reasonable supervision of authorized information can be realized by sensitive data storage and sharing algorithms. The system implementation and analysis show that the scheme can share all kinds of sensitive data securely, ensure the security of storage, access and authorization of sensitive data, and meet the needs of sensitive data sharing. Related Articles | Metrics

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Key Points and Practice of Compliance Assessment for Government Data Security Journal of Information Security Reserach    2022, 8 (11): 1050-.   Abstract （392）      PDF （719KB）（326）       Knowledge map    Save With the development of digital government, the security of government data has become a crucial task. The state attaches great importance to the security risk prevention of government data, and has issued a series of laws, regulations and policy documents, which put forward clear requirements for strengthening the security management of government data. Based on the requirements of government data security compliance, this article proposes the evaluation method and index system of compliance assessment for government data security, which will provide reference for the manager of government data to carry out government data security compliance assessment. Reference | Related Articles | Metrics

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The Analysis of National Security Risk in Open Source Software Supply Chain Journal of Information Security Reserach    2021, 7 (9): 790-794.   Abstract （382）      PDF （742KB）（320）       Knowledge map    Save Currently, open source software is widely used in network products, and open source has become an important part of the software supply chain, and its security and controllability issues have become increasingly prominent. Western countries' dominant advantages in open source organizations and open source project policies have a great impact on the security of china's corresponding network product supply chains. Starting from the cybersecurity review, this article combines the analysis results of the open source software code components to study and analyze the national security risks in the open source software supply chain,proposes suggestions for improving the safety management of open source software supply chain. Reference | Related Articles | Metrics

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Challenges and Countermeasures of Artificial Intelligence Security Governance Journal of Information Security Reserach    2022, 8 (4): 318-.   Abstract （289）      PDF （2934KB）（315）       Knowledge map    Save AbstractThe development of artificial intelligence has gone through several ups and downs. In recent years, it has once again attracted the great attention of academia and industry. Its technology is being rapidly applied in various fields and has become a new round of strategic technology for countries to realize industrial transformation and upgrading. However, the indepth application of artificial intelligence with machine learning as the core technology has brought about increasingly prominent technical and social risks. This paper summarizes and analyzes the security risks faced by artificial intelligence and its governance status from three aspects: potential security vulnerabilities, excessive abuse, and social ethics. To further deal with the issue of AI security governance, this paper puts forward solutions and suggestions from the perspectives of technology, standards, and laws, aiming to provide an idea for the establishment of AI security governance systems and industrial applications. Meanwhile, this paper also gives a direction for the exploration of AI security technology research.Key wordsartificial intelligence; security governance; machine learning; social ethics; lasws and regulations Reference | Related Articles | Metrics

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Active Security Network Architecture——Network Safety Technology Based on Social Control Principles Journal of Information Security Reserach    2021, 7 (7): 590-597.   Abstract （336）      PDF （1333KB）（311）       Knowledge map    Save This article is the beginning of a series of articles on active safety network architecture. Since network security problems have root causes in terms of history, culture, technology, etc., it is necessary to start with the root causes in order to find a fundamental solution to solve network security problems well. Through the analysis of the development history and key elements of social control, and the analogy of social security with network security, it is found that network security problems can also be effectively solved by the method of social control principles. In the past, various network security protection theories such as OSI, PDR, P2DR, IATF, and plug-in security protection methods have a certain degree of complement in solving network security problems, and they have not solved network security problems fundamentally; instead, using the new network security protection concepts and methods of social control principles can establish A secure network architecture, make the network generate security capabilities endogenously, solve the fundamental problems of network security well, bring new security values such as main network security protection, unified management and control, and active defense, and significantly improve network security protection capabilities. Reference | Related Articles | Metrics

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5G Security Situation and Policy Analysis at Home and Abroad Journal of Information Security Reserach    2021, 7 (5): 476-484.   Abstract （277）      PDF （1187KB）（309）       Knowledge map    Save With the continuous commercial use of 5G globally, 5G security has become the focus of attention of all countries. Countries around the world have formulated their own national 5G security strategies, laws and regulations, and academic institutions and think tanks have also formulated standards and strategies. The global 5G development situation and progress are different. Influenced by countries such as the United States and the European Union, the world's major economies have different strategies for 5G supplier selection and technology route. This paper discusses the situation of 5G security at home and abroad in detail, analyzes the main national policies of each country, and makes suggestions on the development and response of 5G in China. Reference | Related Articles | Metrics

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Cyberspace governance in the new era Zhang Yuqing, Liu Qixu, Fu Anmin, Zhang Guanghua, Chen Benhui, Zhu Zhenchao, Feng Jingyu , Liu Yanxiao Journal of Information Security Reserach    2021, 7 (6): 486-487.   Abstract （402）      PDF （479KB）（307）       Knowledge map    Save Related Articles | Metrics

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Intelligent and Connected Vehicle Safety Review Journal of Information Security Reserach    2021, 7 (6): 558-565.   Abstract （453）      PDF （1924KB）（304）       Knowledge map    Save The organic combination of Internet of Vehicles and intelligent vehicles has produced Intelligent connected vehicle. Intelligent connected vehicle realizes the information exchange of people, vehicles and roads through on-board sensing system and information terminal, which is based on emerging technologies such as artificial intelligence and 5G communication technology. However, while the manufacturers integrate the emerging intelligent network technology into the car to bring convenience, rapidity, intelligence and comfort to customers, there are also many information security problems. This paper first introduces the booming trend of intelligent connected vehicles and the increasing security issues. While giving the definition and architecture of intelligent connected vehicles, the relationship between “intelligence” and “connected” and the differences in technical routes at home and abroad are compared. The current security threats faced by intelligent connected vehicles are summarized and analyzed. Combined with the technical architecture differences between intelligent connected vehicles and traditional vehicles, the attacks are divided into two categories: traditional attacks and new attacks, and the corresponding security defense countermeasures for each attack are given.Finally, the current research status of intelligent connected vehicles safety is summarized, and suggestions for the research direction of the current environment are put forward. Reference | Related Articles | Metrics

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Automated Vulnerability Mining and Attack Detection Journal of Information Security Reserach    2022, 8 (7): 630-.   Abstract （362）      PDF （434KB）（304）       Knowledge map    Save Related Articles | Metrics

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Research and Practice on the Construction of Data Security Ecosystem Journal of Information Security Reserach    2021, 7 (10): 941-.   Abstract （190）      PDF （3921KB）（302）       Knowledge map    Save In March 2021, “the 14th five year plan for national economic and social development of the People's Republic of China and the outline of long-term objectives for 2035”were officially released, which mentioned that“we should pay equal attention to open and control, promote the unity of development and standardized management, build a digital rule system, and create an open, healthy and safe digital ecology”. The proposal of“digital ecology”provides strong support for the research and practice of building a data security ecosystem. Under the guidance of the national data security strategy, a good environment that the whole society participates, maintains data security and promotes development is gradually formed. This study proposes the overall framework of the data security ecosystem, including one center, two cycles, three systems, five keys and eight routes. Taking the digital ecology as the construction goal, the specific contents and indicators of the data security ecosystem are determined from the perspective of how to implement the data security governance and construction requirements. Finally, a landing execution path at all levels of data security is formed. Reference | Related Articles | Metrics

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Research on the Application of Commercial Cryptography in 5G Network Journal of Information Security Reserach    2023, 9 (4): 331-.   Abstract （528）      PDF （1197KB）（300）       Knowledge map    Save As a new generation of mobile communication network infrastructure, 5G application scenarios run through all aspects of production and life, such as industrial Internet, energy industry, transportation, medical industry and education. However, unprecedented security risks have been brought to 5G networks, including massive terminal access, largescale network deployment, and massive data aggregation. 5G security has gradually become a worldwide research trend in recent years since it is crucial to social development, economic operation, and even national security. Cryptography is the core technology and basic support to assure network and information security. After more than ten years of development, national commercial cryptographic algorithms ZUC, SM4, SM3, SM2, whose independent intellectual property rights are available, have gradually exerted more indispensable effects in maintaining the security of national cyberspace. Starting from the 5G network architecture and interfaces, this paper analyzes the underlying security risks faced by the 5G networks and proposes a corresponding solution as an example in terms of the commercial cryptography application practices of the 5G network. Reference | Related Articles | Metrics

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Real-time automatic detection and recognition of Internet of Things equipment based on flow fingerprint Journal of Information Security Reserach    2021, 7 (6): 543-549.   Abstract （386）      PDF （1598KB）（296）       Knowledge map    Save In recent years, with the rapid development of Internet of Things (IoT) technology, a large number of Internet of Things devices have emerged in the cyberspace, such as network printers, network cameras and routers. However, the network security situation is getting worse.  Large-scale network attacks initiated by terminal devices connected to the Internet frequently occur, causing a series of adverse effects, such as information leakage and personnel property damage.  Establishing a fingerprint generation system for IoT devices to accurately identify device types is of great significance to the unified security control of the IoT. We propose a real-time automatic detection and recognition solution for IoT devices based on traffic fingerprints. This solution contains two main modules, including automatic detection and fingerprint recognition.  First, passive listening is used to collect messages sent by different IoT devices. Based on the differences in the header fields of different devices, a series of multi-classification algorithms are used to identify the device type. Simulation experiments show that the scheme can achieve an average prediction accuracy of 93.75%. Reference | Related Articles | Metrics

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Journal of Information Security Reserach    2023, 9 (6): 498-.   Abstract （253）      PDF （472KB）（294）       Knowledge map    Save Related Articles | Metrics

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Unified Authority Management Scheme in Zero Trust Architecture  Journal of Information Security Reserach    2021, 7 (11): 1047-.   Abstract （370）      PDF （1922KB）（292）       Knowledge map    Save Zero trust security architecture is subverting people's perception of enterprise security. Its main point is "continuous verification, never trust", which makes more requirements for the subject, object and time of authentication and authorization. This paper mainly discusses how to quickly achieve unified authority management and control under the background of zero trust from the perspective of authority management. Through the investigation and analysis of many enterprises, functional authority and data authority are the most common dimensions of authority management in enterprises. Based on this, we can design a set of universal and highly flexible unified authority platform, which is used to centrally manage the authority data of each enterprise information system, realize the efficient control of authority under the zero trust architecture, and ensure the data security and business security Reference | Related Articles | Metrics

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Model of Data Security Governance Based on Business Scenarios Journal of Information Security Reserach    2022, 8 (4): 392-.   Abstract （263）      PDF （1743KB）（290）       Knowledge map    Save With the rapid development of the digital economy, all countries around the world regard data assets as important resources that may affect national security, and have taken actions to issue laws and regulations related to data security in order to comprehensively improve data security capabilities. In this context, organizations involved in data processing activities on the one hand need to face constraints related to data security policy requirements; on the other hand, they want to protect the data that may affect the vital interests of the organization. Therefore, in addition to data security compliance work, it is also necessary to implement data securityrelated requirements effectively. Based on the organization’s own business, the realization of business goals as the driving force is the key element of sustainable improvement of data security capability. This paper reviews the typical data security framework and proposes a data security governance model based on business scenarios, which can provide some references for organizations to carry out data security governance work.Key words business scenarios; data security governance model; data flow transformation; data classification and grading; data security operation; data security risks Reference | Related Articles | Metrics

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5G Cyber Security Penetration Test Framework and Method Journal of Information Security Reserach    2021, 7 (9): 795-801.   Abstract （396）      PDF （3678KB）（287）       Knowledge map    Save 5G network construction is in full swing. The high rate, massive coverage, and extremely low latency of 5G networks make the Internet of Everything possible and bring new opportunities and challenges to network information and security.5G will create new prospects for industry transformation and business models. 5G will be further applied to various vertical industries, such as smart driving, smart grid, and smart healthcare.The 5G architecture is different from the previous 2G/3G/4G architecture and deploy MEC near base stations, which greatly  increases security risks. As 5G constructs Internet of Everything scenarios, it faces more risks such as malicious attacks and information theft. This paper analyzes the weaknesses of the 5G network architecture and studies the security penetration framework in 5G networks and proposes the penetration framework of terminal side, RAN side, bearer side, MEC side and core network side. Reference | Related Articles | Metrics

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Journal of Information Security Reserach    2021, 7 (E2): 90-.   Abstract （251）      PDF （2497KB）（277）       Knowledge map    Save Related Articles | Metrics

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Journal of Information Security Reserach    2022, 8 (8): 734-.   Abstract （325）      PDF （422KB）（276）       Knowledge map    Save Related Articles | Metrics

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Research and Prospect of Adversarial Attack in the Field of Natural Laguage Processing Journal of Information Security Reserach    2022, 8 (3): 202-.   Abstract （243）      PDF （1351KB）（268）       Knowledge map    Save With the continuous development of artificial intelligence, deep learning has been applied to vari-ous fields. However, in recent years, relevant studies have shown that deep learning is suscepti-ble to adversarial attacks, which can deceive deep learning models into making wrong judgments about sample categories. At present, the research of computer vision adversarial attack has grad-ually become mature, but because of the special structure of text data, the research of natural lan-guage processing adversarial attack is still in the development stage. Therefore, by introducing the concept of adversarial attack and its application in the field of computer vision, this paper introduces the current research status of adversarial attack in the field of natural language pro-cessing, and investigates popular adversarial attack schemes according to specific downstream tasks of natural language processing. Finally, prospects for the development of adversarial attack in the field of natural language processing are proposed. This paper has reference value for re-searchers in the field of natural language processing adversarial attack. Reference | Related Articles | Metrics

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Design of the standard architecture of the network security situation awareness Journal of Information Security Reserach    2021, 7 (9): 844-848.   Abstract （309）      PDF （894KB）（265）       Knowledge map    Save As the real-time guardian of the network security, network security situation awareness platform is the main means to realize "all-weather and all-round awareness of the network security situation". However, being different from the traditional firewall, intrusion detection, security audit and other functions of relatively fixed products, the concept and application of the network security situation awareness is much more complex. Based on the investigation of typical models of network security situation awareness at home and abroad, this paper presents the standard framework of network security situation awareness, focusing on the problems faced by organizations in building network security situation awareness capability and manufacturers in developing and designing network security situation awareness products. It can provide basis for the network security situation awareness R & D, production and testing units to carry out standardized scientific research, production and testing. Reference | Related Articles | Metrics

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Journal of Information Security Reserach    2022, 8 (9): 856-.   Abstract （390）      PDF （391KB）（260）       Knowledge map    Save Related Articles | Metrics

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Research and Design of Unified Platform for Vulnerability Management Journal of Information Security Reserach    2022, 8 (2): 190-.   Abstract （381）      PDF （1069KB）（259）       Knowledge map    Save With the development of the network technology, information security has been paid more and more attention. As one of the most frequently used attacking methods, security vulnerability has also been widely concerned. At present, Most of the organizations or enterprises rely on manual methods to manage vulnerabilities, and do not have unified tracking、 disposition、 display and analysis. These methods are not only inefficient, but also error-prone. A unified platform for vulnerability management was proposed, which allowed the automatic closed loop controlling of the life cycle of vulnerabilities. The platform integrated different vulnerability management capabilities into specific functional modules. General development languages and standards-based service interfaces were developed to allow integration of this platform with other infrastructure platform systems or network security tools. Practices show that, this platform can effectively improve the performance of the vulnerability management, and make vulnerability management to be centralized, streamlined and automated. Reference | Related Articles | Metrics

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Data sharing model based on privacy computing Journal of Information Security Reserach    2022, 8 (2): 122-.   Abstract （229）      PDF （2404KB）（258）       Knowledge map    Save At present, there are still many problems to be solved in government data sharing, such as the mismatch between data demand and supply, the weakness of data security and personal privacy protection, and the difficulty of business collaboration.By analyzing the current operation mechanism of government data sharing, combined with the theory of privacy computing technology, this paper proposes a data sharing model.This model adopts the method of "computable but invisible" to carry out data sharing,  gives the data sharing and system security architecture based on privacy computing.This model includes two main application processes: data statistical analysis and anonymous query.This model has theoretical and application value for better supporting data sharing with high security management requirements. Reference | Related Articles | Metrics