Journal of Information Security Reserach ›› 2021, Vol. 7 ›› Issue (E1): 147-.

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Internet of Things Security Monitoring Platform Based on AI Big Data

  

  • Online:2022-04-20 Published:2022-04-22

基于AI大数据的物联网安全监测平台

武进;王聪;叶张乐   

  1. (杭州安恒信息技术股份有限公司杭州310052)
  • 通讯作者: 武进 主要研究方向为物联网安全、漏洞挖掘、AI数据分析建模、非侵入式违规外联检测. jin.wu@dbappsecurity.com.cn
  • 作者简介:武进 主要研究方向为物联网安全、漏洞挖掘、AI数据分析建模、非侵入式违规外联检测. jin.wu@dbappsecurity.com.cn 王聪 硕士.主要研究方向为物联网安全、网络空间测绘、基于AI的网络威胁识别. iagemail@163.com 叶张乐 主要研究方向为物联网安全、微服务架构、DevOps. rom.ye@dbappsecurity.com.cn

Abstract: With the rapid development of the Internet of things, the Internet of things is becoming more and more networked, integrated, and intelligent. At present, most of the smart networking devices on the market have security vulnerabilities. They are in an unprotected state and extremely vulnerable to be attacked. When the terminal is attacked or invaded by the network, the user cannot perceive and control it, which brings serious harm to the information life, even endangers the key infrastructure of the network and national security. In view of the current security situation of the Internet of things, based on AI big data analysis and facing the ubiquitous connection scenario, DAS provides a security management platform integrating asset identification, security detection, security auditing, and security operation, which can realize realtime perception of asset information threats from the five dimensions of asset risk sorting, border security monitoring, cyberspace surveying and mapping, threat intrusion monitoring and security situation awareness, and display the current asset security status in a multidimensional visual form.Key words irregularities; weak password; system vulnerability; cyberspace surveying and mapping; signaling security; border security


Key words: irregularities, weak password, system vulnerability, cyberspace surveying and mapping, signaling security, border security

摘要: 随着万物互联的快速发展,物联网日趋网络化、集成化、智能化.目前市场上的智能联网设备大多处于无防护状态,存在安全漏洞,极易被攻击.当终端受到网络攻击和入侵时,用户无法感知、无法管控,给信息化生活带来严重危害,甚至危害网络关键基础设施,危害国家安全.针对物联网安全现状,基于AI大数据分析,面向泛物联场景,安恒提供集资产识别、安全检测、安全审计、安全运营于一体的安全管理平台,分别从资产风险梳理、边界安全监测、网络空间测绘、威胁入侵监测及安全态势感知5大维度对资产信息威胁进行实时感知,以可视化形式多维度地展示当前资产安全状态.关键词违规行为;弱口令;系统漏洞;网络空间测绘;信令安全;边界安全

关键词: 违规行为, 弱口令, 系统漏洞, 网络空间测绘, 信令安全, 边界安全