Automakers are grappling with the challenge of creating an engaging in-car experience that outpaces competitors while focusing on swift innovation. This innovation centres on connectivity driven by advanced data and algorithms. As cars generate increasing amounts of data, in-vehicle edge computing becomes crucial for seamless connected vehicle functioning, especially with the advent of high-speed 5G communication. The ability to use data from multiple sources, like OEMs, insurers, and smart cities, hinges on effective edge computing. However, this heightened connectivity raises concerns about security and data protection.
The automotive industry's vastness involves numerous OEMs producing various connected vehicle models, equipped with over 100 sensors each. These sensors track driver behaviour, vehicle performance, and component life cycle, generating extensive data sources. While this data holds potential for numerous applications, ensuring its security proves challenging, given the intricate automotive supply chain. Protecting vehicles from cyber threats grows more complex with each connection, system, and sensor, making robust cybersecurity standards difficult to enforce.
In response to the push for decarbonization, the growth of Autonomous, Connected, and Electric (ACE) mobility introduces new data privacy and security challenges. Electric vehicles (EVs), designed for data analysis, can enhance energy efficiency, safety features, and more. However, the rising reliance on software control across various aspects of EVs opens avenues for cybersecurity vulnerabilities.
Machine learning (ML) stands out in this context, facilitating the identification of connections between events over time and aiding risk reduction. Data privacy remains a key concern while it's impossible to predict every cyberattack scenario. Standardizing the security of connected vehicles enables innovation and additional features within cars. Collaborative platforms between startups and larger players can support innovation by sharing data insights.
In conclusion, the full potential of smart vehicles can only be realized when connected vehicle security and data protection are effectively addressed, allowing the industry to capitalize on data platforms, open-source software, and cloud providers while ensuring user data protection.
Source: https://www.iotworldtoday.com/transportation-logistics/understanding-how-connected-vehicles-fleets-can-protect-data-privacy