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无人系统脆弱性挖掘及一体化安全防护框架

Vulnerability Mining and Integrated Security Protection Framework for Unmanned Systems

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【作者】 孙轲李玉峰谢少荣郑向雨

【Author】 SUN Ke;LI Yufeng;XIE Shaorong;ZHENG Xiangyu;School of Computer Engineering and Science, Shanghai University;Purple Mountain Laboratories;

【通讯作者】 谢少荣;

【机构】 上海大学计算机工程与科学学院紫金山实验室

【摘要】 智能、网联部组件在提升无人系统智能化、集群化的同时,也使无人系统面临愈发严峻的网络安全风险。智能、网联部组件的部署使得物理域与信息域融合,网络安全风险可传播至物理域,导致物理域功能安全与网络安全交织。以无人系统为研究对象,分析智能部组件的网络脆弱性(漏洞、后门等)及其危害,梳理漏洞挖掘相关技术,并列举相关漏洞利用策略;分析无人系统的功能安全与网络安全一体化安全防护需求,指出其挑战与基于动态-异构-冗余(Dynamic Heterogeneous Redundancy, DHR)架构的解决途径。

【Abstract】 While the intelligent and connected components(ICCs) enhance the intelligence and clustering capabilities of unmanned systems, they also expose these systems to increasingly severe cybersecurity risks.Additionally, the deployment of ICCs leads to the integration of the physical and cyber domains, allowing cybersecurity risks to spread to the physical domain and intertwining cybersecurity with functional safety.This study focuses on unmanned systems, analyzes the cyber vulnerabilities(i.e.,flaws, backdoors, etc.) and their potential impacts, reviewing relevant vulnerability mining techniques, and outlining their exploitation strategies.It further examines the integrated security protection requirements for the functional safety and cybersecurity of unmanned systems, highlights the associated challenges, and presents solutions based on the Dynamic Heterogeneous Redundancy(DHR) architecture.

【基金】 上海市浦江人才计划(23PJ1403000);国家自然科学基金(62403301)
  • 【文献出处】 智能安全 ,Artificial Intelligence Security , 编辑部邮箱 ,2024年04期
  • 【分类号】TP393.08;U463.6;V279;U665.26
  • 【下载频次】13
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