A Data-Driven Cyber Resilience Assessment for Industrial Plants

被引：0

作者：

Simone, Francesco ^{[1
]}

Cilli, Claudio ^{[2
]}

Di Gravio, Giulio ^{[1
]}

Patriarca, Riccardo ^{[1
]}

机构：

[1] Sapienza Univ Rome, Dept Mech & Aerosp Engn, Rome, Italy

[2] Sapienza Univ Rome, Dept Comp Sci, Rome, Italy

来源：

INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 1, WORLDCIST 2023 | 2024年 / 799卷

关键词：

Resilience; Cyber attacks; Big data;

D O I：

10.1007/978-3-031-45642-8_46

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Cyber-Physical Systems (CPSs) are becoming more integrated into smart industrial assets. CPS however are increasingly exposed to external vulnerabilities, beyond technical failures, i.e., cyber attacks, due to their complex structure that combines cyber, cyber-physical, and physical components. Operationalizing the notion of cyber resilience represents a solution to deal with this family of problems. In this study, a methodology to assess the resilience of CPSs is presented and instantiated on dataset referred to SWaT (SecureWater Treatment) testbed data to show its effectiveness in a particular application. Two metrics are calculated to quantify the resilience of the system under analysis. The obtained results gives suggestions for the resilient design and management of CPSs.

引用

页码：467 / 476

页数：10

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