Here are some ways self-driving cars are susceptible to hackers.
Cloud ComputingAs we all know, self-driving vehicles process immense amounts of data that is stored and retrieved using cloud computing. The car sends its GPS location and obtains information from other automobiles to predict traffic flow and to distinguish the best route between places. Also, AVs need to transmit and retrieve data in real-time from surrounding cars for a smooth and safe driving experience. With so much data processing involved, some vulnerabilities can be exploited by malicious hackers. For example, a malicious hacker would only need to hack one entry-point, i.e. the cloud-computing database or the vehicle's communication device, to access large amounts of data that can be used to manipulate the car. A bad actor could also willingly switch off safety features to turn a perfectly safe vehicle into a problematic one. Similarly, with the need for constant information transfer, the information cannot be highly encrypted, or it would delay the transmission of data, which in itself can be damaging for the passenger.
Multiple Coding LanguagesA single company does not manufacture the components used in vehicles these days. In fact, many elements are purchased from other manufacturers, as it saves time and money. Each manufacturer would have a different coding system that needs to be aligned to make information transmission compatible with other components. As there are too many variables involved in different components interacting with each other, identifying a weak link could be a little more than a challenge, which manufacturers might overlook. For cybercriminals, this would be the perfect opportunity to exploit security weaknesses. A quick way around this problem is penetration testing. Pen testing is a systematic process to identify vulnerabilities and weaknesses in applications. It is a controlled form of hacking to unveil flaws in a system that is used by the manufacturer for reinstating security features. During a penetration test, the tester could mimic the actions of hackers and look for susceptibilities in the vehicle but without causing havoc. This would allow manufacturers to strengthen their anti-hacking software and make autonomous driving vehicles more resilient to hackers.
Combining the Technology and ResourcesCar manufacturers are in somewhat of a hurry to present the world with their first perfect autonomous vehicle. In all fairness, the heightened competition could be the potential cause of delay in the launch of self-driving vehicles. What car manufacturers have failed to demonstrate is a collaboration where they share their technology and resources to build a car that is more refined and secure. Some of the most renowned companies, such as Toyota, Tesla, and Google, are investing millions of dollars in creating the ultimate self-driving car. The result is slow progress in the domain of autonomous vehicles. Since manufacturers are not willing to share their technologies, it would only give hackers more opportunities to exploit self-driving vehicles. Shared resources and information would be an excellent solution for tackling cyber-security implications in autonomous cars. Collaboration between two manufacturing companies would mean better resources to develop a resilient technology that can secure the cars’ infrastructure and keep hackers locked out. Shared resources would also improve testing the vehicle for vulnerabilities, as there would be a more exceptional workforce at the disposal of the companies. Therefore, manufacturers need to collaborate with each other instead of competing to improve cybersecurity implications in autonomous vehicles. Will Waymo and Tesla’s semi-truck be 100% safe vehicles that are never distracted? We’ll have to keep our fingers crossed and watch.