| Title | A Novel Method for Malicious Implanted Computer Video Cable Detection via Electromagnetic Features |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Huang, Weiqing, Feng, Zhaowen, Xu, Yanyun, Zhang, Ning |
| Conference Name | 2021 IEEE Wireless Communications and Networking Conference (WCNC) |
| Date Published | April 2021 |
| Publisher | IEEE |
| ISBN Number | 978-1-7281-9505-6 |
| Keywords | Air gaps, composability, Electromagnetic compromising emanation, EMD, feature extraction, Hardware, hardware Trojan detection, Human Behavior, Metrics, Prediction algorithms, pubcrawl, resilience, Resiliency, Safety, side-channel attacks, Software, Training |
| Abstract | Electromagnetic (EM) radiation is an inherent phenomenon in the operation of electronic information equipment. The side-channel attack, malicious hardware and software implantation attack by using the EM radiation are implemented to steal information. This form of attacks can be used in air-gap information equipment, which bring great danger for information security. The malicious implantation hidden in circuits are difficult to detect. How to detect the implantation is a challenging problem. In this paper, a malicious hardware implantation is analyzed. A method that leverages EM signals for Trojan-embedded computer video cable detection is proposed. The method neither needs activating the Trojan nor requires near-field probe approaching at close. It utilizes recognizable patterns in the spectrum of EM to predict potential risks. This paper focuses on the extraction of feature vectors via the empirical mode decomposition (EMD) algorithm. Intrinsic mode functions (IMFs) are analyzed and selected to be eigenvectors. Using a common classification technique, we can achieve both effective and reliable detection results. |
| URL | https://ieeexplore.ieee.org/document/9417341 |
| DOI | 10.1109/WCNC49053.2021.9417341 |
| Citation Key | huang_novel_2021 |
A Novel Method for Malicious Implanted Computer Video Cable Detection via Electromagnetic Features