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SURFILTER, Insisting on the Road of Independent Innovation of Information Security -- Review of the Information and Network Security Strategy of SURFILTER Journal of Information Security Research    2016, 2 (12): 1054-1067.   Abstract （142）      PDF （5217KB）（990）       Knowledge map    Save Related Articles | Metrics

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TOPSEC, Leading Brand of Independent Innovation, Supporting Cyberspace Power Strategy Journal of Information Security Research    2018, 4 (9): 774-782.   Abstract （90）      PDF （1579KB）（670）       Knowledge map    Save Related Articles | Metrics

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Security-Development Road of National E-Gov Network in the “Internet +” Era Zhou Min Journal of Information Security Research    2015, 1 (2): 98-104.   Abstract （345）      PDF （2278KB）（1777）       Knowledge map    Save Related Articles | Metrics

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Meiya Pico,Innovation to Enhance the Core Technology of Cybersecurity Journal of Information Security Research    2017, 3 (9): 770-780.   Abstract （343）      PDF （1952KB）（868）       Knowledge map    Save Related Articles | Metrics

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Research of Threat Intelligence Sharing and Using for Cyber Attack Attribution Yang Zeming, Li Qiang, Liu Junrong, and Liu Baoxu Journal of Information Security Research    2015, 1 (1): 31-36.   Abstract （956）      PDF （5527KB）（1474）       Knowledge map    Save With the increasingly complexity of cyberspace security, the attack attribution has become an important challenge for the security protection system. The emergence of threat intelligence provided plentiful data source support for the attack attribution, which makes large-scale attack attribution became possible. To realize effective attack attribution, based on the structure expression of the threat information, a light weight framework of threat intelligence sharing and utilization was proposed. It included threat intelligence expression, exchange and utilization, which can achieve the attack attribution result. Take the case of C2 relevant information, we described the expression of threat intelligence sharing and utilization, and verified the framework. Results show that the framework is practical, and can provide new technical means for attack attribution. In addition, based on the understanding of threat intelligence, several thinking about the construction of sharing and utilization mechanisms were promoted in the end. Related Articles | Metrics

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PeopleNet, Independently Developing Core Technology of Cyber Information Security Journal of Information Security Research    2017, 3 (7): 578-588.   Abstract （210）      PDF （1448KB）（680）       Knowledge map    Save Related Articles | Metrics

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Journal of Information Security Reserach    2024, 10 (E2): 105-.   Abstract （363）      PDF （929KB）（241）       Knowledge map    Save Reference | Related Articles | Metrics

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Journal of Information Security Reserach    2023, 9 (E2): 4-.   Abstract （75）      PDF （2945KB）（594）       Knowledge map    Save Related Articles | Metrics

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“Internet +”Power: Overview of AsiaInfo Secruity’s Cyber Security Journal of Information Security Research    2016, 2 (8): 670-684.   Abstract （338）      PDF （1873KB）（1175）       Knowledge map    Save Related Articles | Metrics

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Leveraging “Internet Plus” and Big Data for the Improvement of Services Supervision Cui Chuanzhen Journal of Information Security Research    2016, 2 (2): 98-106.   Abstract （213）      PDF （1159KB）（911）       Knowledge map    Save Related Articles | Metrics

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A Review of Adversarial Attack on Autonomous Driving Perception System Journal of Information Security Reserach    2024, 10 (9): 786-.   Abstract （284）      PDF （1560KB）（227）       Knowledge map    Save The autonomous driving perception system collects surrounding environmental information through various sensors and processes this data to detect vehicles, pedestrians and obstacles, providing realtime foundational data for subsequent control and decisionmaking functions. Since sensors are directly connected to the external environment and often lack the ability to discern the credibility of inputs, the perception systems are  potential targets for various attacks. Among these, adversarial example attack is a mainstream attack method characterized by high concealment and harm. Attackers manipulate or forge input data of the perception system to deceive the perception algorithms, leading to incorrect output results by the system. Based on the research of existing relevant literature, this paper systematically summarizes the working methods of the autonomous driving perception system, analyzes the adversarial example attack schemes and defense strategies targeting the perception system. In particular, this paper subdivide the adversarial examples for the autonomous driving perception system into signalbased adversarial example attack scheme and objectbased adversarial example attack scheme. Additionally, the paper comprehensively discusses defense strategy of the adversarial example attack for the perception system, and subdivide it into anomaly detection, model defense, and physical defense. Finally, this paper prospects the future research directions of adversarial example attack targeting autonomous driving perception systems. Reference | Related Articles | Metrics

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Privacypreserving Federated Learning Research Based on #br# Confused Modulo Projection Homomorphic Encryption#br# Journal of Information Security Reserach    2025, 11 (3): 198-.   Abstract （100）      PDF （1298KB）（70）       Knowledge map    Save In the current era of big data, deep learning is booming and has become a powerful tool for solving realworld problems. However, traditional centralized deep learning systems are at risk of privacy leakage. To address this problem, federated learning, a distributed machine learning approach, has emerged. Federated learning allows multiple organizations or individuals to train models together without sharing raw data, by uploading local model parameters to the server, aggregating each user’s parameters to construct a global model, and returning it to the user. This approach achieves global optimization and avoids private data leakage. However, even with federated learning, attackers may still be able to reconstruct user data by obtaining the model parameters uploaded by users, thus violating  privacy. To address this issue, privacy protection has become the focus of federated learning research. In this paper, we propose a federated learning scheme FLFC (federated learning with confused modulo projection homomorphic encryption) based on confused modulo projection homomorphic encryption to address the above issues. This scheme adopts a selfdeveloped modular fully homomorphic encryption algorithm to encrypt user model parameters. The modular fully homomorphic encryption algorithm has the advantages of high computational efficiency, support for floatingpoint operations, and localization, thus achieving stronger protection of privacy. Experimental results show that the FLFC scheme exhibits a higher average accuracy and good stability compared to the FedAvg scheme in experiments. Reference | Related Articles | Metrics

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A Review of Hardware Accelerated Research on Zeroknowledge Proofs Journal of Information Security Reserach    2024, 10 (7): 594-.   Abstract （237）      PDF （1311KB）（232）       Knowledge map    Save ZeroKnowledge Proofs (ZKP) are cryptographic protocols that allow a prover to demonstrate the correctness of a statement to a verifier without revealing any additional information. This article primarily introduces research on the acceleration of zeroknowledge proofs, with a particular focus on ZKPs based on Quadratic Arithmetic Programs (QAP) and Inner Product Proofs (IPA). Studies have shown that the computational efficiency of zeroknowledge proofs can be significantly improved through hardware acceleration technologies, including the use of GPUs, ASICs, and FPGAs. Firstly, the article introduces the definition and classification of zeroknowledge proofs, as well as the difficulties encountered in its current application. Secondly, this article  discusses in detail the acceleration methods of different hardware systems, their implementation principles, and their performance improvements over traditional CPUs. For example, cuZK and GZKP utilize GPUs to perform Multiscalar Multiplication (MSM) and Number Theoretic Transform (NTT), while PipeZK, PipeMSM, and BSTMSM accelerate these computational processes through ASICs and FPGAs. Additionally, the article mentions applications of zeroknowledge proofs in blockchain for concealing transaction details, such as the private transactions in ZCash. Lastly, the article proposes future research directions, including accelerating more types of ZKPs and applying hardware acceleration to practical scenarios to resolve issues of inefficiency and promote the widespread application of zeroknowledge proof technology. Reference | Related Articles | Metrics

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VEDA, Establishing the AI Dynamic Defense System for Cyber Security Journal of Information Security Research    2017, 3 (12): 1058-1066.   Abstract （319）      PDF （1526KB）（819）       Knowledge map    Save Related Articles | Metrics

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Venustech’s Continuous Construction of the Information Security Ecological Chain — Analyze the Information and Cyber Security Strategy of Venustech Journal of Information Security Research    2017, 3 (2): 98-115.   Abstract （230）      PDF （3877KB）（939）       Knowledge map    Save Related Articles | Metrics

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Research on Deep Learningbased Spatiotemporal Feature Fusion  Network Intrusion Detection Model Journal of Information Security Reserach    2025, 11 (2): 122-.   Abstract （119）      PDF （1944KB）（134）       Knowledge map    Save As the number of network attacks increases, network intrusion detection systems are becoming increasingly important in maintaining network security. Most studies have used deep learning approaches for network intrusion detection but have not fully utilized the features of traffic from multiple perspectives. Additionally, these studies often suffer from the use of outdated experimental datasets. In this paper, a parallelstructured DSCInceptionBiLSTM network is proposed to evaluate the designed network model using stateoftheart datasets. The model consists of two branches, network traffic image, and text anomaly traffic detection. Spatial and temporal features of traffic are extracted by improved convolutional neural networks and recurrent neural networks, respectively. Finally, network intrusion detection is achieved by fusing spatiotemporal features. The experimental results show that our model achieves 99.96%, 99.19%, and 99.95% accuracy on the three datasets of CICIDS 2017, CSECICIDS 2018 and CICDDoS 2019, respectively, effectively classifying the anomalous traffic with high precision and meeting the requirements of intrusion detection system. Reference | Related Articles | Metrics

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Dean, the Pioneer and Guardian of Network Security for 20 Years Dean Group's Information Security and Strategy Based on a Network Powerful Nation Journal of Information Security Research    2017, 3 (10): 0-0.   Abstract （112）      PDF （2297KB）（630）       Knowledge map    Save Related Articles | Metrics

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Research on Security Protection of High RealTime Metro Integrated Supervisory and Control System Journal of Information Security Research    2019, 5 (8): 691-695.   Abstract （75）      PDF （1098KB）（600）       Knowledge map    Save Integrated Supervisory and Control System (ISCS) is one of the necessary automatic systems for efficient and safe operation of urban rail transit automation. The integrated monitoring system is a largescale integrated system with high integration of informationization and automation. The system integrates multiple automation and information subsystems in urban rail transit stations, tunnels, depots, parking lots, control centers, etc, and performs unified monitoring, control and management of subsystems on the same software platform, realizing the information sharing of each specialty system and the linkage control function between the systems. In this paper, the ISCS security protection solution for rail transit under the requirement of high realtime performance is studied, the typical security protection design concept is given, and the equal guarantee evaluation method is put forward. 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 （1691）      PDF （1142KB）（1267）       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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Journal of Information Security Research    2016, 2 (11): 969-971.   Abstract （386）      PDF （726KB）（1273）       Knowledge map    Save Related Articles | Metrics

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The Review of Information Hiding Technology Based on GAN Image Generation Journal of Information Security Research    2019, 5 (9): 771-777.   Abstract （692）      PDF （630KB）（932）       Knowledge map    Save The traditional steganography is facing more and more threats, and the steganographic analysis technology is gradually mature. To solve this problem, the Generative Adversarial Networks is introduced into the steganography, which can reduce the traces of carrier modification and improve the concealment of steganography. This paper introduces the basic structure of the Generative Adversarial Networks, summarizes, compares and classifies the research results of the steganography based on GAN image generation. According to the existing technical means, the shortcomings of the current Generative Adversarial Networks in the development of steganography are proposed, and the future research directions are prospected. Reference | Related Articles | Metrics

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Cracking the Hard Mathematical Problems of Cryptographic Algorithm Cui Chuanzhen Journal of Information Security Research    2015, 1 (1): 92-96.   Abstract （319）      PDF （1027KB）（919）       Knowledge map    Save Related Articles | Metrics

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AI and Data Privacy Protection: The Way to Federated Learning Journal of Information Security Research    2019, 5 (11): 961-965.   Abstract （1037）      PDF （1395KB）（1216）       Knowledge map    Save With the tremendous advance in computing, algorithms and data volume, artificial intelligence ushered in the third development climax, and began to gain a foot hold in exploring various industries. However, as the emergence of “big data”, more “small data” or “poorquality data”, and “data silos” exist in industry applications. For example, in the information security realm, it is difficult for enterprises who provide security services such as content security auditing and intrusion detection based on artificial intelligence technology to exchange raw data due to the consideration of user privacy and trade secrets protection. The services between enterprises are independent, and the overall development of cooperation and technology is difficult to make a breakthrough in a short period of time. How to promote greater cooperation on the premise of protecting the privacy of organizations? Will there be any chance for technical means to solve the data privacy protection problems? Federated Learning is an effective way to solve this problem and achieve acrossenterprise collaborative governance. Reference | Related Articles | Metrics

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Three-Dimensional Way of Acorn Network in Industrial Control Cybersecurity Journal of Information Security Research    2017, 3 (8): 0-0.   Abstract （373）      PDF （3703KB）（636）       Knowledge map    Save Related Articles | Metrics

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A Survey of Zero Trust Research Journal of Information Security Research    2020, 6 (7): 608-614.   Abstract （1167）      PDF （2068KB）（1544）       Knowledge map    Save With the popularization of cloud computing, mobile office and other technologies, the enterprise network structure becomes complex. The traditional network security model is based on the idea of boundary protection, which can not meet the current needs. Zero trust is a new network security model, where no distinction is made between internal and external networks and all entities need authentication and authorization before accessing resources, which can be used to protect the network whose perimeter is increasingly fuzzy. This paper gives the definition of zero trust, introduces the architecture of zero trust, analyzes the core technology of zero trust, compares and analyses several representative zero trust schemes, summarizes the development status, points out the research direction needing attention in this field, which can provide reference for the research and application of zero trust. Reference | Related Articles | Metrics

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An Optimized Computation Method for Cipher Symbol Functions  Based on Homomorphic Encryption Journal of Information Security Reserach    2025, 11 (2): 100-.   Abstract （165）      PDF （1092KB）（139）       Knowledge map    Save Fully homomorphic encryption extends encryption to computations, allowing ciphertext processing without decryption. Comparative operations, crucial in applications like deep learning, pose a challenge in homomorphic encryption environments restricted to addition and multiplication. Feng et al. (CNS 2023) proposed a comparison method using dynamic polynomial combinations. This paper enhances dynamic polynomial, allowing polynomial fluctuations within (-2,2). It introduces a novel equation system for solving dynamic polynomials and utilizes finite third and fifthdegree polynomials to construct more precise composite polynomials for approximating the sign function. It analyzes the method’s optimality in depth consumption and computational complexity, achieving a 32% reduction in runtime compared to the optimal method in a previous study (CNS 2023). The homomorphic comparison algorithm in this paper, for ε=2-20，α=20 requires only 0.69ms in amortized runtime. Reference | Related Articles | Metrics

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Building Cyber Security Defense by Trusted Computing 3.0 Journal of Information Security Research    2017, 3 (4): 290-298.   Abstract （318）      PDF （1075KB）（1694）       Knowledge map    Save Related Articles | Metrics

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Blockchain and Quantum Computing Journal of Information Security Research    2018, 4 (6): 496-504.   Abstract （174）      PDF （1390KB）（578）       Knowledge map    Save In recent years, the emerging of digital encryption currency such as bitcoin, blockchain as its key technology has caused the government, technology companies, financial institutions and capital market great attention and wide public concern. Blockchain is a new kind of distributed, decentralized or centralized mechanism, has high distributed redundant storage, go to the center of the credit, automatic intelligent contract execution, timeseries data, not tampered with, the advantages of security and privacy. However, with the development of quantum computer, some advantages of blockchain will be challenged. By analyzing the core technology of the blockchain and combining the advantages of quantum computing, we could analyze the problems that the blockchain system will face in the future. We could work to provide effective guidance and reference to relevant researches of blockchain in the future. Reference | Related Articles | Metrics

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Journal of Information Security Reserach    2024, 10 (E1): 236-.   Abstract （383）      PDF （796KB）（306）       Knowledge map    Save Reference | Related Articles | Metrics

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A Trust Framework for Large Language Model Application Journal of Information Security Reserach    2024, 10 (12): 1153-.   Abstract （171）      PDF （1420KB）（154）       Knowledge map    Save The emergence of large language model has greatly propelled the rapid application of artificial intelligence across various domains. In practice, however, there are a series of security and trust challenges in the applications of large language models caused by “model hallucinations”. These challenges make it difficult for practical applications to trust and adopt the results returned by the large language models, especially in securityrelated application domains. In many professional fields, we find that there lacks a unified technical framework to ensure the trustworthiness of results returned by large language models, which seriously hinders the application of largescale model technology in professional fields. To address this issue, a largescale model trusted application framework DKCF, integrating sufficient data (D), expertise knowledge (K), intellectual collaboration (C), and efficient feedback (F), is proposed. This framework is developed based on our practical applications in professional fields such as finance, healthcare, and security. We believe that DKCF can shed light on secure and reliable applications of large language models, and facilitate the intellectual revolution across various professional domains. Reference | Related Articles | Metrics

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Research on the Development Trend of Cybersecurity Technology Journal of Information Security Reserach    2025, 11 (1): 2-.   Abstract （111）      PDF （563KB）（92）       Knowledge map    Save Related Articles | Metrics

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Overview of Regulation of Crossborder Data Flow Journal of Information Security Reserach    2025, 11 (2): 164-.   Abstract （155）      PDF （1274KB）（88）       Knowledge map    Save The development of the digital economy has made crossborder data flow an inevitable trend, and while bringing economic benefits, the security of crossborder data flow cannot be ignored. Due to the complexity of the subjects and scenes involved in the process of crossborder data flow, and the uncontrollability of the process, how to regulate the possible security problems in the process of crossborder data flow has become the focus of the world. So far, there is no unified governance rule system for crossborder data flow in the world, and at the same time, there are huge differences in legislation on crossborder data flow in different countries, which results in the complex situation of legislation on crossborder data flow in the world. This paper describes the current situation of crossborder data flow from the perspectives of laws and regulations, bilateral agreements and standards, and in this way develops horizontal comparisons, sorts out the existing regulatory differences, analyzes the challenges and opportunities China faces under the current trend, and gives reasonable countermeasures. Reference | Related Articles | Metrics

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“Internet +”Power: Overview of Westone Secruity’s Cyber Secruity Journal of Information Security Research    2016, 2 (10): 862-875.   Abstract （214）      PDF （2788KB）（1018）       Knowledge map    Save Related Articles | Metrics

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Trend on Cybersecurity Policy Risks of the Trump Administration and China Countermeasures Journal of Information Security Research    2018, 4 (10): 870-880.   Abstract （111）      PDF （1337KB）（781）       Knowledge map    Save Reference | Related Articles | Metrics

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To Create a Positive Cyberspace by Safeguarding Network Security with Active Immune Trusted Computing 3.0 Journal of Information Security Research    2018, 4 (4): 282-302.   Abstract （188）      PDF （2291KB）（893）       Knowledge map    Save Related Articles | Metrics

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Journal of Information Security Reserach    2024, 10 (E2): 139-.   Abstract （118）      PDF （676KB）（111）       Knowledge map    Save Reference | Related Articles | Metrics

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Construction and Practice of Emergency Plans for Cyber Security Events in E-Government Institutes Journal of Information Security Research    2019, 5 (5): 377-382.   Abstract （147）      PDF （2124KB）（471）       Knowledge map    Save With the frequent occurrence of various types of security risks in recent years, cyber security is becoming more and more serious. Once the critical information systems such as core business systems and goverment portals been attacked, will be having a wide range of impacts, endangering nation security, national economy and people's life and public interests.. In order to reduce the losses caused by cyber security incidents, it is very necessary for E-Government institutes to establish standardized and efficient emergency plan. Due to the limitations of consciousness, technology and resources, E-Government institutes have common problems in the construction and practice of common emergency plans. In view of this, it's necessary to put forward some suggestions for the optimization of emergency plans, which can help the information security staff of E-Government institutes to standardize the response process of cyber security incidents. Reference | Related Articles | Metrics

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The Study of Security Audit Framework and Key Technologies in Big Data Era Journal of Information Security Research    2019, 5 (5): 400-405.   Abstract （219）      PDF （1234KB）（494）       Knowledge map    Save The aggregation and sharing of data resources contributes to the concentration of security risks, and security audit technology in big data environment is facing many challenges. Firstly, the reference framework for big data security auditing is proposed based on big data reference framework and cloud security audit framework,which conducts security auditing from user dimension and data life-cycle dimension. Secondly,the security audit technology monitors the behaviors of data provider, system orchestrator, big data application provider, big data framework provider and data consumer. And which tracks the entire data life-cycle process which consists of data collection, transmission, storge, curation, exchange and destruction. Finally, this paper discusses the data provenance and privacy protection problems during security auditing, in order to serve as useful references for the development of big data security audit technology. Reference | Related Articles | Metrics

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Journal of Information Security Reserach    2024, 10 (E1): 45-.   Abstract （120）      PDF （820KB）（119）       Knowledge map    Save Reference | Related Articles | Metrics

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Research on Security Risk and Governance Path of Large Models Journal of Information Security Reserach    2024, 10 (10): 975-.   Abstract （125）      PDF （1104KB）（148）       Knowledge map    Save Reference | Related Articles | Metrics