What is it about?
An intrusion detection framework for in-vehicle controller area network using Heuristics and RNN-based methods. The paper deals with three types of intrusions: DoS, Fuzzy, and Replay attack.
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Why is it important?
With the advent of self-driving cars, which are always connected to the internet. Detecting intrusions that can disable or override the car's normal functionality is becoming essential.
Perspectives
Detecting intrusion in controller area networks is an important research problem. We hope that this work can pave the way for future research on this topic.
Dr. Shahroz Tariq
CSIRO
Read the Original
This page is a summary of: CAN-ADF: The controller area network attack detection framework, Computers & Security, July 2020, Elsevier,
DOI: 10.1016/j.cose.2020.101857.
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