Online detection of hardware Trojan enabled packet tampering attack on network-on-chip: A Bayesian approach
文献类型：期刊论文
| 作者 | Wang, Xiaohang1,2; Cao, Ge3; Zhao, Yiming4; Jiang, Yingtao5; Singh, Amit Kumar6; Yang, Mei5; Wang, Liang7; Han, Yinhe8; Guo, Fen |
| 刊名 | INTEGRATION-THE VLSI JOURNAL
 |
| 出版日期 | 2026 |
| 卷号 | 106页码:15 |
| 关键词 | Networks-on-chip Online detection of hardware Trojan |
| ISSN号 | 0167-9260 |
| DOI | 10.1016/j.vlsi.2025.102506 |
| 英文摘要 | 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%. |
| WOS研究方向 | Computer Science ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:001583072000002 |
| 出版者 | ELSEVIER |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/41684]  |
| 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. |
入库方式： OAI收割
来源：计算技术研究所
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