READ ME File For 'Dataset of Deep Learning Enhanced Security for Network-on-Chip in Heterogeneous Computing Systems'

Dataset DOI: 10.5258/SOTON/D3629

ReadMe Author: Haoyu Wang, University of Southampton https://orcid.org/0000-0002-9298-622X

This dataset supports the thesis 
TITLE: Deep learning enhanced security for network-on-chip in heterogeneous computing systems
AWARDED BY: University of Southampton
DATE OF AWARD: 2025


Date of data collection: 2022-2024

Information about geographic location of data collection: 
Southampton

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DATA & FILE OVERVIEW
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This dataset contains:

adpdac_tetc.zip
Dac2025.zip
tetc.zip

All are about the paper of ASP-DAC, DAC, and T-ETC paper. 


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METHODOLOGICAL INFORMATION
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Description of methods used for collection/generation of data: 

The following papers present the methods of data collection and generation. 

Haoyu Wang and Basel Halak. 2023. Hardware Trojan Detection and High-Precision Localization in NoC-Based MPSoC Using Machine Learning. In Proceedings of the 28th Asia and South Pacific Design Automation Conference (ASPDAC '23). Association for Computing Machinery, New York, NY, USA, 516–521. https://doi.org/10.1145/3566097.3567922

H. Wang and B. Halak, "TampML: Tampering Attack Detection and Malicious Nodes Localization in NoC-Based MPSoC," in IEEE Transactions on Emerging Topics in Computing, vol. 13, no. 2, pp. 551-562, April-June 2025, https://doi.org/10.1109/TETC.2024.3434663

Haoyu Wang, Basel Halak, Jianjie Ren, and Ahmad Atamli. 2024. DL2Fence: Integrating Deep Learning and Frame Fusion for Enhanced Detection and Localization of Refined Denial-of-Service in Large-Scale NoCs. In Proceedings of the 61st ACM/IEEE Design Automation Conference (DAC '24). Association for Computing Machinery, New York, NY, USA, Article 98, 1–6. https://doi.org/10.1145/3649329.3655921


Methods for processing the data: 
By python scripts, which are included in the dataset as well.


Software- needed to interpret the data, including software and hardware version numbers:
Python3.9,CUDA11, Gem5 20, Garnet 2


People involved with sample collection, processing, analysis and/or submission:
Haoyu Wang, Dr Basel Halak, Dr Ahamd Atamli