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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Karimian, N. Tehranipoor, F. Rahman, M.T. Kelly, S. Forte, D. |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of Connecticut, Storrs, CT, USA (Karimian, N.; Tehranipoor, F.; Rahman, M.T.; Kelly, S.; Forte, D.) |
| Abstract | Securing integrated circuits against malicious modifications (i.e., hardware Trojans) is of utmost importance, as hardware Trojans may leak information and reduce reliability of electronic systems in critical applications. In this paper, we use ring oscillators (ROs) to gather measurements of ICs that may contain hardware Trojans. To distinguish between Trojan-inserted ICs and Trojan-free ICs, we investigate several classification approaches. Furthermore, we propose a novel feature selection approach based on the Genetic Algorithm (GA) and evaluate its performance compared to several popular alternatives. The proposed method is an improvement over principal component analysis (PCA) in terms of accuracy and equal error rate by 30% and 97% respectively. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 1162044 |
| Page Count | 6 |
| File Format | |
| e-ISBN | 9781479917372 |
| DOI | 10.1109/THS.2015.7225334 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-04-14 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Support vector machines Receivers Genetic Algorithm Genetics Classification algorithms Trojan horses Hardware Trojan Detection Ring Oscillator Network One class classification Principal component analysis Genetic algorithms |
| Content Type | Text |
| Resource Type | Article |
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