Attack DetectionIsolation via a Secure Multisensor Fusion Framework for Cyberphysical Systems
Joint Authors
Chen, Qingwei
Mohammadi, Arash
Yang, Chun
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-02-11
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Motivated by rapid growth of cyberphysical systems (CPSs) and the necessity to provide secure state estimates against potential data injection attacks in their application domains, the paper proposes a secure and innovative attack detection and isolation fusion framework.
The proposed multisensor fusion framework provides secure state estimates by using ideas from interactive multiple models (IMM) combined with a novel fuzzy-based attack detection/isolation mechanism.
The IMM filter is used to adjust the system’s uncertainty adaptively via model probabilities by using a hybrid state model consisting of two behaviour modes, one corresponding to the ideal scenario and one associated with the attack behaviour mode.
The state chi-square test is then incorporated through the proposed fuzzy-based fusion framework to detect and isolate potential data injection attacks.
In other words, the validation probability of each sensor is calculated based on the value of the chi-square test.
Finally, by incorporation of the validation probability of each sensor, the weights of its associated subsystem are computed.
To be concrete, an integrated navigation system is simulated with three types of attacks ranging from a constant bias attack to a non-Gaussian stochastic attack to evaluate the proposed attack detection and isolation fusion framework.
American Psychological Association (APA)
Mohammadi, Arash& Yang, Chun& Chen, Qingwei. 2018. Attack DetectionIsolation via a Secure Multisensor Fusion Framework for Cyberphysical Systems. Complexity،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1132680
Modern Language Association (MLA)
Mohammadi, Arash…[et al.]. Attack DetectionIsolation via a Secure Multisensor Fusion Framework for Cyberphysical Systems. Complexity No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1132680
American Medical Association (AMA)
Mohammadi, Arash& Yang, Chun& Chen, Qingwei. Attack DetectionIsolation via a Secure Multisensor Fusion Framework for Cyberphysical Systems. Complexity. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1132680
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1132680