Automotive Security

Contemporary vehicles are being controlled by 40–100 Electronic Control Units (ECUs), which are interconnected to exchange data for making maneuvering decisions. Such internally networked ECUs improve response time, safety, control precision, and fuel efficiency for vehicles. Internally wired ECUs are now being networked to external entities, i.e., ECUs’ wireless communications with the outside world. Through vehicle-embedded Bluetooth, Wi-Fi, and cellular connections, drivers and passengers are provided with various types of infotainment and new functionalities such as remote diagnostic/prognosis, crash avoidance, and traffic management. Although these enhance safety and mobility, vehicles with more external interfaces, however, prove to be a double-edged sword. While they provide a wide range of benefits, they also open up more remote surfaces/endpoints, which an attacker can exploit and in the worst case, control the vehicle. Researchers have demonstrated how vulnerabilities in such endpoints are exploited to compromise an ECU, access the in-vehicle wired network, and take control of the vehicle. The reality of vehicle cyber attacks has made automotive security one of the most critical issues to be resolved by industry and governments. Our projects in this area are supported by the Michigan Mobility Transformation Center (MTC) and the National Science Foundation under Grant CNS-1505785.

Current Projects

  • Detection of Vehicle Anomalies via Data Fusion
  • Remote Intrusion Detection
  • Exploiting Internal Consistency in Automobiles for Anomaly Detection
  • Synergy: Collaborative: Security and Privacy-Aware Cyber-Physical Systems

Previous Projects

  • IA-CAN
  • Brake Anomaly Detection
  • Bus-Off Attack
  • Clock-based Intrusion Detection


  • Kang G.Shin
Current Graduate Students
  • Chun-Yu (Daniel) Chen
  • Arun Ganesan
  • Eric Newberry
  • Mert Pese
Research Fellows

Visiting Scholars

  • Kyong-Tak Cho
  • Kyusuk Han