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Online detection of hardware Trojan enabled packet tampering attack on network-on-chip: A Bayesian approach
Wang, Xiaohang1,2; Cao, Ge3; Zhao, Yiming4; Jiang, Yingtao5; Singh, Amit Kumar6; Yang, Mei5; Wang, Liang7; Han, Yinhe8; Guo, Fen
2026
发表期刊INTEGRATION-THE VLSI JOURNAL
ISSN0167-9260
卷号106页码:15
摘要Hardware Trojans (HTs), proven difficult to be detected and removed at the offline post-silicon stage, can secretly launch dangerous packet tampering attacks on the network-on-chip (NoC) of a many-core chip. In this paper, we present an online HT detection scheme that is based on continuous, on-the-fly assessment of how likely any single node in the NoC includes an HT. In specific, the scheme first collects the routing path information of any data packet flowing through the NoC. The probability of a node being infected with HTs will next be determined based on each packet's authentication result and this probability is iteratively updated through Bayesian analysis. A node shall be marked as a high-risk node, if its probability of infection exceeds a threshold, and all the high-risk nodes thus discovered will be bypassed by any future traffic. Since the proposed scheme only needs end-to-end authentication, as opposed to costly hop-to-hop authentication, the hardware overhead is kept low. To help further reduce the bandwidth and computation overheads, three approximate schemes are also proposed. Experiments have confirmed that the proposed HT detection methods can effectively locate the malicious nodes and thus reduce the infection rate to below 5%.
关键词Networks-on-chip Online detection of hardware Trojan
DOI10.1016/j.vlsi.2025.102506
收录类别SCI
语种英语
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Hardware & Architecture ; Engineering, Electrical & Electronic
WOS记录号WOS:001583072000002
出版者ELSEVIER
引用统计
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/41685
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Wang, Xiaohang
作者单位1.Zhejiang Univ, State Key Lab Blockchain & Data Secur, Hangzhou, Peoples R China
2.Inst Blockchain & Data Secur, Hangzhou High Tech Zone Binjiang, Hangzhou, Peoples R China
3.South China Univ Technol, Sch Software Engn, Guangzhou, Peoples R China
4.Metropolitan State Univ Denver, Dept Comp Sci, Denver, CO USA
5.Univ Nevada, Dept Elect & Comp Engn, Las Vegas, NV USA
6.Univ Essex, Sch Comp Sci & Elect Engn, Essex, England
7.Beihang Univ, Sch Comp Sci & Engn, Beijing, Peoples R China
8.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Wang, Xiaohang,Cao, Ge,Zhao, Yiming,et al. Online detection of hardware Trojan enabled packet tampering attack on network-on-chip: A Bayesian approach[J]. INTEGRATION-THE VLSI JOURNAL,2026,106:15.
APA Wang, Xiaohang.,Cao, Ge.,Zhao, Yiming.,Jiang, Yingtao.,Singh, Amit Kumar.,...&Guo, Fen.(2026).Online detection of hardware Trojan enabled packet tampering attack on network-on-chip: A Bayesian approach.INTEGRATION-THE VLSI JOURNAL,106,15.
MLA Wang, Xiaohang,et al."Online detection of hardware Trojan enabled packet tampering attack on network-on-chip: A Bayesian approach".INTEGRATION-THE VLSI JOURNAL 106(2026):15.
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