Proceedings of the Korea Information Processing Society Conference (한국정보처리학회:학술대회논문집)

  • 2024.05a
  • /
  • Pages.192-195
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  • 2024
  • /
  • 2005-0011(pISSN)
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  • 2671-7298(eISSN)
Korea Information Processing Society (한국정보처리학회)
권호 표지

Deep learning network attack trends using side channel analysis

부채널 분석을 이용한 딥러닝 네트워크 공격 동향

  • Duk-Young Kim (Dept. of IT Convergence Security, Han-sung University) ;
  • Hyun-Ji Kim (Dept. of Information Computer Engineering, Han-sung University) ;
  • Hyun-Jun Kim (Dept. of Information Computer Engineering, Han-sung University) ;
  • Hwa-Jeong Seo (Dept. of IT Convergence Security, Han-sung University)
  • 김덕영 (한성대학교 융합보안학과 ) ;
  • 김현지 (한성대학교 정보컴퓨터공학과 ) ;
  • 김현준 (한성대학교 정보컴퓨터공학과 ) ;
  • 서화정 (한성대학교 융합보안학과 )
  • Published : 2024.05.23
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Abstract

최근 빠른 속도로 개발되고 있는 인공지능 기술은 여러 산업 분야에서 활용 되고 있다. 그러나 최근 딥러닝 네트워크에 대한 부채널 공격 기법들이 등장하고 있으며, 이는 해당 모델을 재구현하여 자율 주행 자동차에 대한 해킹 등과 같이 치명적인 보안 위협이 될 수 있으므로 이에 대한 이해와 대응책이 필요하다. 본 논문에서는 딥러닝 네트워크에 대한 부채널 공격 기법 동향에 대해 살펴보고, 이에 대한 대응 기술 또한 함께 알아본다.

Keywords

Acknowledgement

This work was supported by Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government(MSIT) (No.2018-0-00264, Research on Blockchain Security Technology for IoT Services, 50%) and this work was supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT)(No.2022-0-00627, Development of Lightweight BIoT technology for Highly Constrained Devices, 50%).

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