According to Gartner, there will be 220million connected cars on the road in 2020. While new technologies promise to enhance the driving experience, these advancements also create avenues of attack for hackers that can endanger drivers and passengers. Some of these vulnerabilities will not be known by the vendor, a hole in the software is known as a zero day vulnerability and can be exploited by hackers in what is known as a zero day attack.
Symantec Anomaly Detection for Automotive uses machine learning to provide passive in-vehicle security analytics that monitor all Controller Area Network (CAN) bus traffic without disrupting vehicle operations, learn what normal behaviour is and flag anomalous activity that may indicate an attack. Symantec claims the solution works with virtually any automotive make and model.
Christian Christiansen, IDC VP of Security Products, said: “As connected automobiles become the norm, security issues have already drawn attention. Keeping security top of mind will not only help ensure the safety of drivers and passengers but also build trust in the car manufactures and the overall Internet of Things ecosystem.”
Symantec Anomaly Detection for Automotive is said to learn a vehicle’s behaviour, enabling automakers to see previously unseen attacks. It automatically prioritises incidents based on perceived criticality and risk as well as detecting anomalies without requiring manufacturers to set rules or create policies while using minimal memory and CPU power.