Blog

With the increasing use of IVI systems in smart cockpits, attackers can exploit leaked personally identifiable information (PII) to eavesdrop on intimate in-car conversations or even steal customers’ identities or take over vehicles. We discuss how malicious actors can gain access to the private data of connected car owners and how users and OEMs can address the risks.

At the recently concluded WCX 2023 conference, technological developments involving software-defined, autonomous, and electric vehicles were among the topics of discussion. In this blog entry, we examine the risks associated with these developments and what the automotive industry can learn from the IT industry in dealing with potential security issues.

We discuss how thieves staged a car heist via “CAN injection” and recommend how car OEMs can secure their vehicles from similar incidents.

We previously explored the potentials of and opportunities presented by quantum computing in the automotive industry. In the second part of our two-part discussion, we tackle how this disruptive technology could also pose significant risks to automotive cybersecurity.

We discuss how quantum computing could revolutionize the automotive industry – from advanced battery and vehicle design to optimized traffic flow and transportation systems. This is the first installment of our two-part discussion on quantum computing in the automotive industry.

Researchers have described attack scenarios using an extensive attack platform called V2X Application Spoofing Platform (VASP). We discuss how effective these scenarios are on different V2X generations.

VicOne is now ASPICE CL2–certified. We look at what the ASPICE assessment signifies for the quality and security of automotive software.

VicOne, DFI, and Automotive Research & Testing Center (ARTC) signed a memorandum of understanding to jointly integrate embedded systems and V2X technology, and to develop comprehensive information security measures for EVs and connected transportation.

The Synacktiv team walked away with US$530,000 and a Tesla Model 3 after successfully demonstrating two attacks against the vehicle at this year’s spring edition of the Pwn2Own hacking competition.

Research has shown that advanced driver assistance systems (ADASs) are vulnerable to attacks using infrared laser technology that could compromise the safety and reliability of autonomous vehicles.

We discuss how integrating a customized generative pre-trained transformer (GPT) model for automotive cybersecurity into our solutions can significantly reduce data analysis time and detect threats with higher accuracy.

We revisit the Brokenwire attack, which exploits vulnerabilities in the Combined Charging System (CCS), the most widely used DC rapid charging technology for electric vehicles.