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考虑人工智能驱动的网络攻击与防护的自主运输系统的安全知情安全分析

Security-Informed Safety Analysis of Autonomous Transport Systems Considering AI-Powered Cyberattacks and Protection.

作者信息

Illiashenko Oleg, Kharchenko Vyacheslav, Babeshko Ievgen, Fesenko Herman, Di Giandomenico Felicita

机构信息

Department of Computer Systems, Networks and Cybersecurity, National Aerospace University "KhAI", 17, Chkalov Str., 61070 Kharkiv, Ukraine.

Software Engineering & Dependable Computing Lab, Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo", Area della Ricerca CNR di Pisa, Via G. Moruzzi 1, 56124 Pisa, Italy.

出版信息

Entropy (Basel). 2023 Jul 26;25(8):1123. doi: 10.3390/e25081123.

DOI:10.3390/e25081123
PMID:37628153
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10453859/
Abstract

The entropy-oriented approach called security- or cybersecurity-informed safety (SIS or CSIS, respectively) is discussed and developed in order to analyse and evaluate the safety and dependability of autonomous transport systems (ATSs) such as unmanned aerial vehicles (UAVs), unmanned maritime vehicles (UMVs), and satellites. This approach allows for extending and integrating the known techniques FMECA (Failure Modes, Effects, and Criticality Analysis) and IMECA (Intrusion MECA), as well as developing the new SISMECA (SIS-based Intrusion Modes, Effects, and Criticality Analysis) technique. The ontology model and templates for SISMECA implementation are suggested. The methodology of safety assessment is based on (i) the application and enhancement of SISMECA considering the particularities of various ATSs and roles of actors (regulators, developers, operators, customers); (ii) the development of a set of scenarios describing the operation of ATS in conditions of cyberattacks and physical influences; (iii) AI contribution to system protection for the analysed domains; (iv) scenario-based development and analysis of user stories related to different cyber-attacks, as well as ways to protect ATSs from them via AI means/platforms; (v) profiling of AI platform requirements by use of characteristics based on AI quality model, risk-based assessment of cyberattack criticality, and efficiency of countermeasures which actors can implement. Examples of the application of SISMECA assessment are presented and discussed.

摘要

为了分析和评估诸如无人机（UAV）、无人航海器（UMV）和卫星等自主运输系统（ATS）的安全性和可靠性，人们讨论并开发了一种以熵为导向的方法，分别称为安全或网络安全知情安全（SIS或CSIS）。这种方法允许扩展和整合已知技术FMECA（故障模式、影响及危害性分析）和IMECA（入侵FMECA），以及开发新的SISMECA（基于SIS的入侵模式、影响及危害性分析）技术。文中提出了SISMECA实施的本体模型和模板。安全评估方法基于：（i）考虑各种ATS的特殊性和参与者（监管机构、开发者、运营商、客户）的角色，应用和增强SISMECA；（ii）开发一组描述ATS在网络攻击和物理影响条件下运行的场景；（iii）人工智能对所分析领域系统保护的贡献；（iv）基于场景开发和分析与不同网络攻击相关的用户故事，以及通过人工智能手段/平台保护ATS免受攻击的方法；（v）利用基于人工智能质量模型的特征、网络攻击危害性的基于风险评估以及参与者可实施的对策效率来分析人工智能平台要求。文中展示并讨论了SISMECA评估的应用示例。

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