Toward Intelligent Vehicle Intrusion Detection Using the Neural Knowledge DNA

Title: Toward Intelligent Vehicle Intrusion Detection Using the Neural Knowledge DNA
Creator: Li, Fei; Zhang, Haoxi; Wang, Juang; Liu, Yong; Gao, Lulu; Xu, Xiang; Sanin, Cesar; Szczerbicki, Edward
Relation: Cybernetics and Systems Vol. 49, Issue 5-6, p. 412-419
Publisher Link: http://dx.doi.org/10.1080/01969722.2017.1418788
Publisher: Taylor & Francis
Resource Type: journal article
Date: 2018
Description: In this paper, we propose a novel intrusion detection approach using past driving experience and the neural knowledge DNA for in-vehicle information system security. The neural knowledge DNA is a novel knowledge representation method designed to support discovering, storing, reusing, improving, and sharing knowledge among machines and computing systems. We examine our approach for classifying malicious vehicle control commands based on learning from past valid driving behavior data on a simulator.
Subject: deep learning; knowledge representation; neural knowledge DNA; set of experience knowledge structure; vehicle intrusion detection
Identifier: http://hdl.handle.net/1959.13/1466279
Identifier: uon:47493
Identifier: ISSN:0196-9722
Language: eng
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