Survey of Automotive Controller Area Network Intrusion Detection Systems | Zendy

Clinton Young | Zendy; Joseph Zambreno | Zendy; Habeeb Olufowobi | Zendy; Gedare Bloom | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Survey of Automotive Controller Area Network Intrusion Detection Systems

Author(s) -

Clinton Young,

Joseph Zambreno,

Habeeb Olufowobi,

Gedare Bloom

Publication year - 2019

Publication title -

ieee design and test

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.35

H-Index - 79

eISSN - 2168-2364

pISSN - 2168-2356

DOI - 10.1109/mdat.2019.2899062

Subject(s) - intrusion detection system , automotive industry , computer security , computer science , intrusion prevention system , network security , intrusion , state (computer science) , control (management) , controller (irrigation) , engineering , artificial intelligence , agronomy , geochemistry , geology , biology , aerospace engineering , algorithm

Editor’s note: Control Area Network (CAN) is one of the most popular targets for malicious attacks and exploitations in modern automotive systems. The goal of intrusion detection systems (IDS) is to identify and mitigate security attacks; consequently, they are of paramount importance to automotive security. This article surveys the state of the art in IDS, with special emphasis on techniques for detecting attacks on CAN modules. —Sandip Ray, University of Florida

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research