Tracking cybersecurity threats with Machine Learning to spot patterns: part two
In part 1 we looked at some of the challenges of identifying cyber attacks in a vehicle. In…
Tracking cybersecurity threats with Machine Learning to spot patterns: part one
Most people are familiar with having antivirus software on their computer or mobile device. This is an obvious…
Embedded technology at the heart of the Secure-CAV project: Part 1
In previous blogs, consortium members Coventry University (Institute for Future Transport and Cities), and James Tyrrell from cybersecurity…
Validating a cybersecurity solution for the automotive industry: Mileage Tampering
Last month, we released the specification of a multi-component testbed representing a flexible and functional in-vehicle architecture for…
Validating a cybersecurity solution for the automotive industry: The Secure-CAV demonstrator platform
Back in September we were able to finally get back into the Systems Security Group labs here at…
What to do about OBD-II?
Dongles are everywhere and car makers are concerned Originally introduced as part of a drive to clean up…
Mileage tampering: odometer fraudsters remain a concern for the automotive industry
The temptation for bad actors to manipulate mileage data hasn’t gone away despite vehicle passports and information sharing…
Defense in Depth: How can automotive systems possibly be cyber-secure against unknown future threats?
By Lee Harrison, Siemens EDA (a member of the Secure-CAV Consortium) One of the biggest challenges we come…
Card play: the intriguing world of threat modelling games
Elevation of Privilege is a card game that turns threat hunting into an engaging competition complete with actionable…
Trends in ECU vulnerabilities highlighted at DEF CON 2020
James Tyrrell, a Threat Modelling Analyst at Secure-CAV consortium member Copper Horse, takes a virtual seat at this…
