NDLI: Modeling inter-signal arrival times for accurate detection of CAN bus signal injection attacks: a data-driven approach to in-vehicle intrusion detection

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Modeling inter-signal arrival times for accurate detection of CAN bus signal injection attacks: a data-driven approach to in-vehicle intrusion detection

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Modeling inter-signal arrival times for accurate detection of CAN bus signal injection attacks: a data-driven approach to in-vehicle intrusion detection

Content Provider	ACM Digital Library
Author	Moore, Michael R. Starr, Michael S. Bridges, Robert A. Prowell, Stacy J. Combs, Frank L.
Abstract	Modern vehicles rely on hundreds of on-board electronic control units (ECUs) communicating over in-vehicle networks. As external interfaces to the car control networks (such as the on-board diagnostic (OBD) port, auxiliary media ports, etc.) become common, and vehicle-to-vehicle / vehicle-to-infrastructure technology is in the near future, the attack surface for vehicles grows, exposing control networks to potentially life-critical attacks. This paper addresses the need for securing the controller area network (CAN) bus by detecting anomalous traffic patterns via unusual refresh rates of certain commands. While previous works have identified signal frequency as an important feature for CAN bus intrusion detection, this paper provides the first such algorithm with experiments using three attacks in five (total) scenarios. Our data-driven anomaly detection algorithm requires only five seconds of training time (on normal data) and achieves true positive / false discovery rates of 0.9998/0.00298, respectively (micro-averaged across the five experimental tests).
Starting Page	1
Ending Page	4
Page Count	4
File Format	PDF
ISBN	9781450348553
DOI	10.1145/3064814.3064816
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2017-04-04
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	In-vehicle security Can bus Signal injection Anomaly detection
Content Type	Text
Resource Type	Article

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