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CAN에서의 자기상관 기반 침입 탐지 시스템

Title
CAN에서의 자기상관 기반 침입 탐지 시스템
Translated Title
Autocorrelation-based Intrusion Detection System for Controller Area Network (CAN)
Authors
Jeong, WoojinChoi, EunminChoi, Ji-Woong
DGIST Authors
Jeong, Woojin; Choi, Eunmin; Choi, Ji-Woong
Issue Date
2021-02
Citation
Journal of Institute of Control, Robotics and Systems, 27(2), 92-97
Type
Article
Author Keywords
AutocorrelationController area network (CAN)Intrusion detection system (IDS)Source node identification
Keywords
Agricultural robotsAuthenticationAutocorrelationComputer crimeControl system synthesisControllersCorrelation detectorsCryptographyEmbedded systemsProcess controlBus topologyController area networkEncryption protocolsHuman livesIntrusion Detection SystemsPhysical layer securitySource nodesSystem robustnessIntrusion detection
ISSN
1976-5622
Abstract
This paper proposes an autocorrelation-based intrusion detection system for a controller area network (CAN). The CAN is a bus topology network used in cyber-physical systems such as vehicles, robots, and trains. As the applications of the CAN are closely related to human life, and any malfunctions may lead to accidents, the system robustness is critical. However, the CAN is vulnerable to attacks because no authentication or encryption exists in the CAN protocol. The proposed system uses the autocorrelation of the CAN signals to identify the source node and detects the attack signals. Moreover, we evaluate the performance of the proposed system through a simulation and in a real-car environment. As the proposed system involves physical layer security, no modification of the CAN protocol is necessary. In addition, redundant security can be implemented when the system is applied with authentication or encryption protocols. © ICROS 2021.
URI
http://hdl.handle.net/20.500.11750/13474
DOI
10.5302/J.ICROS.2021.20.0191
Publisher
제어·로봇·시스템학회
Related Researcher
  • Author Choi, Ji-Woong CSP(Communication and Signal Processing) Lab
  • Research Interests Communication System; Signal Processing; Communication Circuit Design; 생체 신호 통신 및 신호 처리; 뇌-기계 인터페이스(BMI); 차세대 교차계층 통신 및 신호 처리; 5G 모바일 통신
Files:
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Collection:
Department of Electrical Engineering and Computer ScienceCSP(Communication and Signal Processing) Lab1. Journal Articles


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