1 option
Detection method for Cybersecurity attack on Connected vehicles Wayne State University
- Format:
- Book
- Conference/Event
- Author/Creator:
- Dadam, Sumanth Reddy, author.
- Conference Name:
- SAE Powertrains, Fuels & Lubricants Digital Summit (2021-09-28 : Live Online, Pennsylvania, United States)
- Language:
- English
- Physical Description:
- 1 online resource cm
- Place of Publication:
- Warrendale, PA SAE International 2021
- Summary:
- Today's advanced vehicles contain numerous sensors and exhibit a high degree of interactions among vehicle's components (e.g., sensors, devices, systems, systems- of-systems) across sensing, communication, and control layers. While driving on the road, hackers only need to be within communication range of the vehicle to attack it. In this article, we discuss the latest vehicle cyber security threats including malware attacks, On-Board Diagnostic (OBD) new regulations and OBD vulnerabilities. We propose a cybersecurity attack detection and defending mechanism algorithm with the help of onboard cybersecurity diagnostic system on an electronic control unit (ECU) on connected vehicles. This control method autonomously diagnose a cybersecurity problem in a vehicle's onboard system using an onboard diagnostic (OBD) interface, such as OBD2 and display freeze-frame data from the sensors and components of the vehicle at the time when a fault by a cyberattack is detected, All of this is achieved in an communication structure where the vehicle sensors and onboard ECUs are connected with each other via an internal network
- Notes:
- Vendor supplied data
- Publisher Number:
- 2021-01-1249
- Access Restriction:
- Restricted for use by site license
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.