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A Survey on Detecting Interactions among Different Devices/Apps in IoT

IoT 분야의 다양한 기기/앱 간 상호작용 검출에 관한 연구동향

  • Yicheng Zhen (Major in Bio Artificial Intelligence, Department of Computer Science and Engineering, Hanyang University) ;
  • Yeonjoon Lee (Department of Computer Science and Engineering, Hanyang University)
  • 전이정 (한양대학교 컴퓨터공학과 바이오인공지능융합전공) ;
  • 이연준 (한양대학교 컴퓨터공학과)
  • Published : 2023.05.18

Abstract

With the recent advances in communication technology and Internet of Things (IoT) infrastructure, home automation systems have emerged as a new paradigm for providing users with convenient smart home services. The IoT ecosystem has merged digital systems with the physical world, dramatically changing the way people live and work. However, at the same time, security remains one of the most significant research issues in IoT, as the deployment and application of high-availability systems come with various security risks that cause serious threats to users. Among them, the security issues arising from the interaction among devices/applications should not be underestimated. Attackers can exploit interactions among devices/applications to hack into the user's home. In this paper, we present a survey of research on detecting various types of interactions among devices/applications in IoT.

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Acknowledgement

This work was partly supported by Institute of Information & communications Technology Planning &Evaluation (IITP) grant funded by the Korea government(MSIT) (No.RS-2022-00155885, Artificial Intelligence Convergence Innovation Human Resources Development (Hanyang University ERICA)) and Institute of Information & communications Technology Planning& Evaluation (IITP) grant funded by the Korea government(MSIT) (No.2020-0-01343, Artificial Intelligence Convergence Research Center(Hanyang University ERICA)).