Effective Hardware-Trojan Feature Extraction Against Adversarial Attacks at Gate-Level Netlists

Kazuki Yamashita*, Tomohiro Kato, Kento Hasegawa, Seira Hidano, Kazuhide Fukushima, Nozomu Togawa

*この研究の対応する著者

研究成果: Conference contribution

抄録

Recently, with the increase in outsourcing of IC design and manufacturing, the possibility of inserting hardware Trojans, which are circuits with malicious functions, has been pointed out. To prevent this threat, a method to identify hardware Trojans using neural networks has been proposed. On the other hand, adversarial attacks have emerged that modify circuit design information to reduce the accuracy of hardware-Trojan classification by neural networks. Since the features designed by existing methods do not take the attacks into account, it is necessary to consider a new method for countermeasures. In this paper, out of 76 features that are strongly related to hardware-Trojan features, we investigate them from the viewpoint of the robustness against the adversarial attacks on circuit design information and newly propose 24 hardware-Trojan features. We compare the classifiers using the proposed 24 features with the classifiers using 11, 36, 51, and 76 existing features, respectively and confirm that the proposed ones are more robust in identifying hardware Trojans in circuits subjected to the adversarial attacks.

本文言語English
ホスト出版物のタイトルProceedings - 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design, IOLTS 2022
編集者Alessandro Savino, Paolo Rech, Stefano Di Carlo, Dimitris Gizopoulos
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781665473552
DOI
出版ステータスPublished - 2022
イベント28th IEEE International Symposium on On-Line Testing and Robust System Design, IOLTS 2022 - Torino, Italy
継続期間: 2022 9月 122022 9月 14

出版物シリーズ

名前Proceedings - 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design, IOLTS 2022

Conference

Conference28th IEEE International Symposium on On-Line Testing and Robust System Design, IOLTS 2022
国/地域Italy
CityTorino
Period22/9/1222/9/14

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • 情報システム
  • 情報システムおよび情報管理
  • 輸送

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