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Denial-of-service attack detection using machine learning in network-on-chip architectures

Authors:

Chamika Sudusinghe,

Subodha Charles,

Prabhat MishraAuthors Info & Claims

NOCS '21: Proceedings of the 15th IEEE/ACM International Symposium on Networks-on-Chip

Pages 35 - 40

https://doi.org/10.1145/3479876.3481589

Published: 08 October 2021 Publication History

Abstract

State-of-the-art System-on-Chip (SoC) designs consist of many Intellectual Property (IP) cores that interact using a Network-on-Chip (NoC) architecture. SoC designers increasingly rely on global supply chains for obtaining third-party IPs. In addition to inherent vulnerabilities associated with utilizing third-party IPs, NoC based SoCs enable attackers to exploit the distributed nature of NoC and its connectivity with various IPs to launch a plethora of attacks. Specifically, Denial-of-Service (DoS) attacks pose a serious threat in degrading the SoC performance by flooding the NoC with unnecessary packets. In this paper, we present a machine learning-based runtime monitoring mechanism to detect DoS attacks. The models are statically trained and used for runtime attack detection leading to minimum runtime performance overhead. Our approach is capable of detecting DoS attacks with high accuracy, even in the presence of unpredictable NoC traffic patterns caused by various application mappings. We extensively explore machine learning models and features to provide a comprehensive study on how to use machine learning for DoS attack detection in NoC-based SoCs.

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Cited By

Weerasena HMishra P(2024)Security of Electrical, Optical, and Wireless On-chip Interconnects: A SurveyACM Transactions on Design Automation of Electronic Systems10.1145/363111729:2(1-41)Online publication date: 14-Feb-2024
https://dl.acm.org/doi/10.1145/3631117
Ding RZhang YXia SWang ZDeng JChen X(2024)Detection of Hardware Attacks in Network on Chip Based on Machine Learning2024 IEEE 7th International Conference on Electronic Information and Communication Technology (ICEICT)10.1109/ICEICT61637.2024.10671248(440-445)Online publication date: 31-Jul-2024
https://doi.org/10.1109/ICEICT61637.2024.10671248
Nisa UBashir J(2024)Towards Efficient On-Chip Communication: A Survey on Silicon Nanophotonics and Optical Networks-on-ChipJournal of Systems Architecture10.1016/j.sysarc.2024.103171152(103171)Online publication date: Jul-2024
https://doi.org/10.1016/j.sysarc.2024.103171
Show More Cited By

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Denial-of-service attack detection using machine learning in network-on-chip architectures

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Published In

cover image ACM Conferences

NOCS '21: Proceedings of the 15th IEEE/ACM International Symposium on Networks-on-Chip

October 2021

91 pages

ISBN:9781450390835

DOI:10.1145/3479876

General Chairs:
Tushar Krishna
Georgia Institute of Technology
,
John Kim
Korea Advanced Institute of Science and Technology
,
Program Chairs:
Sergi Abadal
Universitat Politècnica de Catalunya
,
Joshua San Miguel
University of Wisconsin-Madison

Copyright © 2021 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 08 October 2021

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National Science Foundation

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NOCS '21

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NOCS '21: International Symposium on Networks-on-Chip

October 14 - 15, 2021

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Overall Acceptance Rate 14 of 44 submissions, 32%

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Cited By

Weerasena HMishra P(2024)Security of Electrical, Optical, and Wireless On-chip Interconnects: A SurveyACM Transactions on Design Automation of Electronic Systems10.1145/363111729:2(1-41)Online publication date: 14-Feb-2024
https://dl.acm.org/doi/10.1145/3631117
Ding RZhang YXia SWang ZDeng JChen X(2024)Detection of Hardware Attacks in Network on Chip Based on Machine Learning2024 IEEE 7th International Conference on Electronic Information and Communication Technology (ICEICT)10.1109/ICEICT61637.2024.10671248(440-445)Online publication date: 31-Jul-2024
https://doi.org/10.1109/ICEICT61637.2024.10671248
Nisa UBashir J(2024)Towards Efficient On-Chip Communication: A Survey on Silicon Nanophotonics and Optical Networks-on-ChipJournal of Systems Architecture10.1016/j.sysarc.2024.103171152(103171)Online publication date: Jul-2024
https://doi.org/10.1016/j.sysarc.2024.103171
Ananthi JJose P(2024)Performance of unique and secure routing protocol (USRP) in flying Adhoc Networks for healthcare applicationsHigh-Confidence Computing10.1016/j.hcc.2023.1001704:1(100170)Online publication date: Mar-2024
https://doi.org/10.1016/j.hcc.2023.100170
Al-Shoukry S(2024)Design and implementation of Denial-of-Service attack in network of multiprocessor systems-on-chip with anomaly detection approachService Oriented Computing and Applications10.1007/s11761-024-00394-y18:3(249-267)Online publication date: 18-May-2024
https://doi.org/10.1007/s11761-024-00394-y
Hathal MSaeed BAbdulqader DMustafa F(2024)Attack and anomaly prediction in networks-on-chip of multiprocessor system-on-chip-based IoT utilizing machine learning approachesService Oriented Computing and Applications10.1007/s11761-024-00393-z18:3(209-223)Online publication date: 8-May-2024
https://doi.org/10.1007/s11761-024-00393-z
Wang SYan HIsaacs KSun Y(2023)Visual Exploratory Analysis for Designing Large-Scale Network-on-Chip Architectures: A Domain Expert-Led Design StudyIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.333717330:4(1970-1983)Online publication date: 28-Nov-2023
https://dl.acm.org/doi/10.1109/TVCG.2023.3337173
Faccenda RComarú GCaimi LMoraes F(2023)SeMAP—A Method to Secure the Communication in NoC-Based Many-CoresIEEE Design & Test10.1109/MDAT.2023.327781340:5(42-51)Online publication date: Oct-2023
https://doi.org/10.1109/MDAT.2023.3277813
Hu SWang HHalak B(2023)Cascaded Machine Learning Model Based DoS Attacks Detection and Classification in NoC2023 IEEE International Symposium on Circuits and Systems (ISCAS)10.1109/ISCAS46773.2023.10182218(1-5)Online publication date: 21-May-2023
https://doi.org/10.1109/ISCAS46773.2023.10182218
Dalzotto Ada Silva Borges CRuaro MMoraes F(2022)Non-intrusive Monitoring Framework for NoC-based Many-Cores2022 XII Brazilian Symposium on Computing Systems Engineering (SBESC)10.1109/SBESC56799.2022.9965177(1-7)Online publication date: 21-Nov-2022
https://doi.org/10.1109/SBESC56799.2022.9965177
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