Side-Channel Analysis-Based Model Extraction on Intelligent CPS: An Information Theory Perspective

Qianqian Pan, Jun Wu*, Xi Lin, Jianhua Li

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The intelligent cyber-physical system (CPS) has been applied in various fields, covering multiple critical infras-tructures and human daily life support areas. CPS Security is a major concern and of critical importance, especially the security of the intelligent control component. Side-channel analysis (SCA) is the common threat exploiting the weaknesses in system operation to extract information of the intelligent CPS. However, existing literature lacks the systematic theo-retical analysis of the side-channel attacks on the intelligent CPS, without the ability to quantify and measure the leaked information. To address these issues, we propose the SCA-based model extraction attack on intelligent CPS. First, we design an efficient and novel SCA-based model extraction framework, including the threat model, hierarchical attack process, and the multiple micro-space parallel search enabled weight extraction algorithm. Secondly, an information theory-empowered analy-sis model for side-channel attacks on intelligent CPS is built. We propose a mutual information-based quantification method and derive the capacity of side-channel attacks on intelligent CPS, formulating the amount of information leakage through side channels. Thirdly, we develop the theoretical bounds of the leaked information over multiple attack queries based on the data processing inequality and properties of entropy. These convergence bounds provide theoretical means to estimate the amount of information leaked. Finally, experimental evaluation, including real-world experiments, demonstrates the effective-ness of the proposed SCA-based model extraction algorithm and the information theory-based analysis method in intelligent CPS.

Original languageEnglish
Title of host publicationProceedings - IEEE Congress on Cybermatics
Subtitle of host publication2021 IEEE International Conferences on Internet of Things, iThings 2021, IEEE Green Computing and Communications, GreenCom 2021, IEEE Cyber, Physical and Social Computing, CPSCom 2021 and IEEE Smart Data, SmartData 2021
EditorsJames Zheng, Xiao Liu, Tom Hao Luan, Prem Prakash Jayaraman, Haipeng Dai, Karan Mitra, Kai Qin, Rajiv Ranjan, Sheng Wen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages254-261
Number of pages8
ISBN (Electronic)9781665417624
DOIs
Publication statusPublished - 2021
Event2021 IEEE Congress on Cybermatics: 14th IEEE International Conferences on Internet of Things, iThings 2021, 17th IEEE International Conference on Green Computing and Communications, GreenCom 2021, 2021 IEEE International Conference on Cyber Physical and Social Computing, CPSCom 2021 and 7th IEEE International Conference on Smart Data, SmartData 2021 - Virtual, Melbourne, Australia
Duration: 2021 Dec 62021 Dec 8

Publication series

NameProceedings - IEEE Congress on Cybermatics: 2021 IEEE International Conferences on Internet of Things, iThings 2021, IEEE Green Computing and Communications, GreenCom 2021, IEEE Cyber, Physical and Social Computing, CPSCom 2021 and IEEE Smart Data, SmartData 2021

Conference

Conference2021 IEEE Congress on Cybermatics: 14th IEEE International Conferences on Internet of Things, iThings 2021, 17th IEEE International Conference on Green Computing and Communications, GreenCom 2021, 2021 IEEE International Conference on Cyber Physical and Social Computing, CPSCom 2021 and 7th IEEE International Conference on Smart Data, SmartData 2021
Country/TerritoryAustralia
CityVirtual, Melbourne
Period21/12/621/12/8

Keywords

  • Machine learning
  • information theory
  • intelligent CPS
  • side-channel analysis-based model extraction

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems and Management
  • Renewable Energy, Sustainability and the Environment
  • Safety, Risk, Reliability and Quality
  • Communication

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