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Sensor Attacks in Cyber Physical Systems

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: closed (4 September 2022) | Viewed by 3046

Special Issue Editor


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Guest Editor
Dipartimento di Scienza e Alta Tecnologia, University of Insubria, Via Valleggio 11, 22100 Como, Italy
Interests: cyber-physical systems; sensing system

Special Issue Information

Dear Colleagues,

The growing connectivity and integration of cyber-physical systems has triggered a dramatic proliferation of cyber-physical attacks, that is, security breaches in cyberspace to bring the physical target into a state desired by the attacker. In particular, sensor attacks allow an adversary to control the system under attack and can be very effective. The main aim of this Special Issue is to seek high-quality submissions focusing on theoretical and practical aspects of this kind of attack, including risk-assessment, detection, identification, mitigation, and quantification of impact.

Dr. Simone Tini
Guest Editor

Manuscript Submission Information

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Keywords

  • cyber-physical systems
  • sensor attacks
  • risk assessment
  • impact quantification
  • attack detection
  • attack identification

Published Papers (1 paper)

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Research

22 pages, 6154 KiB  
Article
Detecting and Localizing Cyber-Physical Attacks in Water Distribution Systems without Records of Labeled Attacks
by Mashor Housh, Noy Kadosh and Jack Haddad
Sensors 2022, 22(16), 6035; https://0-doi-org.brum.beds.ac.uk/10.3390/s22166035 - 12 Aug 2022
Cited by 2 | Viewed by 1713
Abstract
Modern water distribution systems (WDSs) offer automated controls and operations to improve their efficiency and reliability. Nonetheless, such automation can be vulnerable to cyber-attacks. Therefore, various approaches have been suggested to detect cyber-attacks in WDSs. However, most of these approaches rely on labeled [...] Read more.
Modern water distribution systems (WDSs) offer automated controls and operations to improve their efficiency and reliability. Nonetheless, such automation can be vulnerable to cyber-attacks. Therefore, various approaches have been suggested to detect cyber-attacks in WDSs. However, most of these approaches rely on labeled attack records which are rarely available in real-world applications. Thus, for a detection model to be practical, it should be able to detect and localize events without referring to a predetermined list of labeled attacks. This study proposes a semi-supervised approach that relies solely on attack-free datasets to address this challenge. The approach utilizes a reduction in dimensionality by using maximum canonical correlation analysis (MCCA) followed by support vector data description (SVDD). The developed algorithm was tested on two case studies and various datasets, demonstrating consistently high performance in detecting and localizing cyber-attacks. Full article
(This article belongs to the Special Issue Sensor Attacks in Cyber Physical Systems)
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