CAVIDS: Real time intrusion detection system for connected autonomous vehicles using logical analysis of data

This publication has 22 references indexed in Scilit:

• A Multiple Rényi Entropy Based Intrusion Detection System for Connected Vehicles
  Entropy, 2020
• Identify a Spoofing Attack on an In-Vehicle CAN Bus Based on the Deep Features of an ECU Fingerprint Signal
  Smart Cities, 2020
• SAIDuCANT: Specification-Based Automotive Intrusion Detection Using Controller Area Network (CAN) Timing
  IEEE Transactions on Vehicular Technology, 2019
• Attacker Identification and Intrusion Detection for In-Vehicle Networks
  IEEE Communications Letters, 2019
• Real-Time Sensor Anomaly Detection and Identification in Automated Vehicles
  IEEE Transactions on Intelligent Transportation Systems, 2019
• Shape of the Cloak: Formal Analysis of Clock Skew-Based Intrusion Detection System in Controller Area Networks
  IEEE Transactions on Information Forensics and Security, 2019
• Sliding Window Optimized Information Entropy Analysis Method for Intrusion Detection on In-Vehicle Networks
  IEEE Access, 2018
• An implementation of logical analysis of data
  IEEE Transactions on Knowledge and Data Engineering, 2000
• Logical analysis of numerical data
  Mathematical Programming, 1997
• Learning Boolean concepts in the presence of many irrelevant features
  Artificial Intelligence, 1994