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Securing On-chip Interconnect against Delay Trojan using Dynamic Adaptive Caging

The work

TitleSecuring On-chip Interconnect against Delay Trojan using Dynamic Adaptive Caging
AuthorsRuchika Gupta; Vedika J. Kulkarni; John Jose; Sukumar Nandi
Typeconference paper
Year2022
Citekeygupta2022securing

Where it appeared

Published inProceedings of the Great Lakes Symposium on VLSI 2022
Pages411--416

Identifiers

DOI10.1145/3526241.3530333
OpenAlexW4281782437

Access

Landing pagehttps://doi.org/10.1145/3526241.3530333

Abstract

With the progressive innovation of VLSI technology, Tiled Chip Multicore Processors (TCMP) have surfaced up as the backbone of the modern data intensive parallel multi-core systems. Network-on-Chip (NoC) is considered as the most preferred choice for on-chip communication. Manufacturers have begun to investigate the prospects of using third-party IP in sophisticated TCMP designs due to strict time-to-market limitations. The inflated reliance over third party IPs induced security vulnerabilities in inter-tile communication. In this paper, we implement a novel Hardware Trojan (HT) called as Delay Trojan (DT) placed in an NoC router. Proposed DT adds random delay to flits going through it, while other NoC routers merely experience regular congestion, making DT detection difficult. As a result, packets of latency-critical applications stalls impacting system performance and throughput. Further, we propose a dynamic adaptive learning framework embedded in NoC routers that detects DT with reasonable accuracy and alerts neighboring routers. We also propose a caging technique to re-route packets. Our experimental study evaluates the impact of DT and the effectiveness of the proposed solution.

Where this came from

How it got herethe agent went looking · found via openalex
First seen2026-08-04
Standingnot denied
Approved2026-08-05

Cite it as

@inproceedings{gupta2022securing,
  title = {Securing On-chip Interconnect against Delay Trojan using Dynamic Adaptive Caging},
  author = {Ruchika Gupta and Vedika J. Kulkarni and John Jose and Sukumar Nandi},
  year = {2022},
  booktitle = {Proceedings of the Great Lakes Symposium on VLSI 2022},
  pages = {411--416},
  doi = {10.1145/3526241.3530333},
  url = {https://doi.org/10.1145/3526241.3530333},
}

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