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
孙轲 1李玉峰 2谢少荣 1郑向雨1
作者信息
- 1. 上海大学计算机工程与科学学院,上海 200444
- 2. 上海大学计算机工程与科学学院,上海 200444;紫金山实验室,南京 211111
- 折叠
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 un-manned 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 cyberse-curity 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 exam-ines the integrated security protection requirements for the functional safety and cybersecurity of unmanned systems,highlights the asso-ciated challenges,and presents solutions based on the Dynamic Heterogeneous Redundancy (DHR) architecture.
关键词
无人系统/漏洞挖掘/功能安全与网络安全一体化防护/动态-异构-冗余架构Key words
unmanned systems/vulnerability mining/integrated protection of functional safety and cybersecurity/Dynamic-Heterogeneous-Redundancy structure引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据