Connected vehicles offer a number of benefits to the drivers such as improved performance, convenience, and safety. These vehicles leverage emerging and innovative hardware and software solutions to enhance the driver’s experience. However, cybersecurity has emerged as a major challenge for connected vehicles as internet connectivity has made these vehicles vulnerable to cyber threats.
Cybercriminals are looking for loopholes in the security of smart vehicles to steal the user data. It can also cause other severe concerns as hacking a vehicle will allow remote access to the hackers, which they can use to inflict physical harm to the driver of the car. Vehicle companies need to offer efficient cybersecurity solution that can quickly detect and alert the users and the company about any potential threat to the vehicle.
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In recent years, much vulnerability in the connector car sector has come to the fore. A research by Tencent Keen Security Lab found more than ten vulnerabilities in the connected BMW cars. Although any bad actors have not exploited these bugs, these vulnerabilities can be used to accomplish many malicious activities like theft of personal information, ransom, terrorism, and many others. Additionally, connected cars are garnering more attention from the cybercriminals as these cars act as a crucial component for global supply chain management.
Hacking a smart car can go undetected for a long time until real damage is done to the car. Cybersecurity teams need to implement efficient firewalls, virus scanners, and malware removers to protect a vehicle against any threat. Artificial intelligence (AI) can be the game changer for the cybersecurity teams, as AI tools can predict a cyber infection before it happens. These tools can monitor vehicle data like sensor data, vehicular commands, and so on to flag any abnormal behavior in the system. Vehicle companies can analyze this abnormal behavior to find the root cause of the problem and fix any vulnerability in the system.