A Capability for Autonomous IoT System Security: Pushing IoT Assurance to the Edge


연구 분야: Verification



학회: 2020 IEEE Security and Privacy Workshops (SPW)


초록

Complex systems of IoT devices (SIoTD) are systems that have a single purpose but are made up of multiple IoT devices. These systems are becoming ubiquitous, have complex security requirements, and face a diverse and ever-changing array of cyber threats. Issues of privacy and bandwidth will preclude sending all the data from these systems to a central place, and so these systems cannot totally rely on a centralized cloud-based service for their security. The security of these systems must be provided locally and in an autonomous fashion. In this paper, we describe a capability to address this problem, explain specifications for the system, present our work on SIoTD assurance, and show initial results of a novel edge-based application of machine learning to build this capability.


Author Profile
Jeffrey S. Chavis

Asymmetric Operations Sector The Johns Hopkins University Applied Physics Laboratory Laurel MD

Moldova
Author Profile
Anna Buczak

Asymmetric Operations Sector The Johns Hopkins University Applied Physics Laboratory Laurel MD

Moldova
Author Profile
Aaron Kunz

Asymmetric Operations Sector The Johns Hopkins University Applied Physics Laboratory Laurel MD

Moldova

📄 논문 정보

발행 연도 2020년
인용수 2
출판 국가 Moldova
사이트 IEEE
좋아요 수 0

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