Acting as part of the wider Altran team, Information Risk Management (IRM) had the pleasure of supporting the CAVShield Cyber Feasibility Study with Honda R&D Europe (UK). The press release below highlights the key findings from the various research groups within the CAVShield project.
Today the CAVShield consortium announced the publication of the project’s reports into the feasibility of detecting and mitigating vulnerabilities and threats to networks of Connected and Automated Vehicles (CAVs).
Jointly funded with industry through Zenzic’s £1.2M Cyber Security competition, and delivered through Centre for Connected & Autonomous Vehicles by Innovate UK, the CAVShield partners have investigated the application of advanced machine learning (ML) techniques to detect and mitigate threats to CAV networks, and the possibilities of combining ML with distributed intelligence for deployment of protection and privacy at scale.
CAVShield has outlined requirements for the facilities and expertise necessary for a CAV Cyber Security Centre of Excellence to provide ongoing defence of UK vehicle fleets and to ensure ongoing development of techniques, to combat the ever-evolving cyber threats. Unique cross-industry expertise has enabled us to examine and make recommendations on a wide spectrum of commercial opportunities and future funding models in cyber security services for the developing CAV ecosystem.
The CAVShield feasibility study findings will be vital in scoping and funding the Centre of Excellence to deliver the ambitious goals contained in the Zenzic Roadmap.
Honda R&D Europe (UK)
“We have been delighted to work collaboratively across different technology sectors to contribute towards such an important topic of Data privacy. We believe the knowledge gained from the CAVShield partners will strengthen and advance the cyber resilience Golden Thread within Zenzic’s roadmap to Connected and Automated Mobility for the UK. “
IBM Research Europe
“A Cyber Security Centre of Excellence will be a game changer for the UK CAV industry. With world class technology in the areas of machine learning, cloud computing and cyber security, the UK has the opportunity to lead on CAV deployment.”
“As a company committed to advancing the security of Cyber-Physical Systems (CPS), in CAVShield we have been able to investigate how to secure the “Connected Intelligent Transport Infrastructure” of the future from a different perspective.”
Colin Robbins of Nexor said; “CAVShield granted Nexor the opportunity to analyse the predicted data transfers required between a CAV and its supporting infrastructure, and subsequently determine appropriate verification measures and methodologies. We also assessed how CAV technologies are likely to be assured as trustworthy. Research like this is pivotal to creating a secure CAV environment which inspires public trust, thereby facilitating mass adoption in the marketplace. From Nexor’s perspective the outcomes of this project will have a direct impact on our product and service roadmap as we expand further into the Automotive sector, as well as enabling us to provide supporting services to the upcoming Cyber Security Centre of Excellence.”
University of Bristol
“Future Connected an Automated Mobility will be underpinned by ultrafast and secure data networks”. Professor Robert Piechocki commented “Cloud and Fog-Based Computing aided by AI is a nascent technology which enables new approaches to cyber security. Such networks will need to be resilient in continuously changing threats landscapes. The CAVShield project has shown that latest AI techniques hold promise to proactively predict and neutralise cyberthreats.”
To download the Cyber Feasibility Study, visit the Zenzic website here.