Research and Analysis of Electromagnetic Trojan Detection Based on Deep Learning
Joint Authors
Zhang, Shibin
Lu, Jiazhong
Liu, Xiaolei
Chang, Yan
Source
Security and Communication Networks
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-25
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
The electromagnetic Trojan attack can break through the physical isolation to attack, and the leaked channel does not use the system network resources, which makes the traditional firewall and other intrusion detection devices unable to effectively prevent.
Based on the existing research results, this paper proposes an electromagnetic Trojan detection method based on deep learning, which makes the work of electromagnetic Trojan analysis more intelligent.
First, the electromagnetic wave signal is captured using software-defined radio technology, and then the signal is initially filtered in combination with a white list, a demodulated signal, and a rate of change in intensity.
Secondly, the signal in the frequency domain is divided into blocks in a time-window mode, and the electromagnetic signals are represented by features such as time, information amount, and energy.
Finally, the serialized signal feature vector is further extracted using the LSTM algorithm to identify the electromagnetic Trojan.
This experiment uses the electromagnetic Trojan data published by Gurion University to test.
And it can effectively defend electromagnetic Trojans, improve the participation of computers in electromagnetic Trojan detection, and reduce the cost of manual testing.
American Psychological Association (APA)
Lu, Jiazhong& Liu, Xiaolei& Zhang, Shibin& Chang, Yan. 2020. Research and Analysis of Electromagnetic Trojan Detection Based on Deep Learning. Security and Communication Networks،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1208488
Modern Language Association (MLA)
Lu, Jiazhong…[et al.]. Research and Analysis of Electromagnetic Trojan Detection Based on Deep Learning. Security and Communication Networks No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1208488
American Medical Association (AMA)
Lu, Jiazhong& Liu, Xiaolei& Zhang, Shibin& Chang, Yan. Research and Analysis of Electromagnetic Trojan Detection Based on Deep Learning. Security and Communication Networks. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1208488
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208488