April, 22, 2022
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edge computing use case: automotive

Cybersecurity Edge Risks in Automotive

The automotive industry is one of the most severely affected industries in the world when it comes to cybersecurity. The automotive industry’s cybersecurity market is projected to grow to $9.7 billion by 2030, a figure that can easily escalate since remote attacks are increasingly outnumbering physical attacks as of the end of 2021.
Experts state that over 40% of automotive cybersecurity issues are related to back-end application servers.
The studies also show the automotive industry could lose up to $1.1 billion for a single cybersecurity attack, and collectively, they could stand to lose up to $24 billion before 2023 ends
The abundance of complex software code and the increasing complexity of systems in connected and autonomous cars have become the reasons for vulnerable Edge security architecture and created ample opportunity for cyberattacks.

Recent Edge Threats & Vulnerabilities

More than 50% of all reported automotive related cybersecurity incidents took place during the past two years alone.
Here are some of the most important incidents that made headlines in 2021:
January
A hacker exploited a vulnerability in a major European Tier-1 infotainment system that was deployed in an Asian OEM’s vehicle. This was achieved by plugging in a USB device, then executing the exploitation to gain root shell access to the system.
February
An Asian OEM’s American business arm experienced a ransomware attack by the DoppelPaymer gang, who demanded $20 million in exchange for a decryptor and not leaking stolen data.
May
Numerous vulnerabilities were discovered in a European Manufacturer’s infotainment system, which could be exploited to take control of multiple in-cabin functions.
August
Numerous vulnerabilities were discovered in a European Manufacturer’s infotainment system, which could be exploited to take control of multiple in-cabin functions.
December
Numerous vulnerabilities were discovered in a European Manufacturer’s infotainment system, which could be exploited to take control of multiple in-cabin functions.

Intrusion Detection and Response for Edge & MEC Gateways

Modern connected vehicles can now be thought of as data centers on wheels. Notoriously, some cars now have more lines of code than aircrafts, giving the market a glimpse of just how sophisticated connected cars are set to be.
In a growing ecosystem of connected IoT devices and MEC gatewaysin vehicles, the need for behavior modeling, anomaly detection, and the prevention/blocking of threats such as scanning, brute force, crypto mining, DDoS, and more, is imperative to protect against hackers’ intrusion.

Vehicle to Everything (V2X) Protocols

The V2X infrastructure is a fast-growing segment of the automotive industry and paints a perfect scenario for edge computing and 5G technology. Vehicles can now produce around 100 gigabytes of data in under 30 days, meaning that data bottlenecks in data transmission to servers can become more than a hassle.
Companies would need to heavily invest in high bandwidth communications and computing capacity to cope with such data-intensive needs along with AI-powered cyber security solutions to keep the data safe.

Infotainment Systems Intrusion Risk

Customer experience is king in the automotive industry and infotainment systems are an express lane for OEMs to improve said journey. As a result, infotainment is now more intuitive and dynamic than ever for both the driver and the passenger for a superior user experience.
Edge computing helps unlock new capabilities like real-time personalization or recommendation systems for music and video, as well as minimize software update latency, but poses the most prominent cyber threats .

How AI EdgeLabs Can Ensure Cybersecurity

These innovations, built on the digitization of in-car systems, the extension of car IT systems into the back end, and the propagation of software, are increasing the concerns about the cybersecurity of modern vehicles. To excel at cybersecurity, there’s a pressing need to re-engineer existing processes, adopt new skills and frameworks, and develop best practices along the automotive supply chain, requiring huge financial resources, deep cyber security expertise and consuming much time. Until you use a powerful and autonomous cybersecurity AI solution to respond immediately to ongoing attacks and protect your Edge/IoT critical infrastructure from malware, ransomware, DDoS, botnets, and other threats.
AI EdgeLabs is an all-in-one AI-based platform that brings advanced network visibility, early threat detection, automated incident response and remediation vital for the newest technologies in automotive.
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Incident Response and Remediation
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