CAN Optimizer Enhances Cloud Anomaly Detection Capabilities

SafeRide Technologies claims it’s the first automotive cybersecurity company to offer a multi-layer deterministic and heuristic anomaly detection and threat prevention solution. Demonstrated this week at the Paris Motor Show, its CAN Optimizer uses advanced machine learning algorithms to compress raw CAN bus data, reducing the bandwidth required to upload information to the cloud

 

While uploading raw CAN data to the cloud enables advanced anomaly detection capabilities, the process consumes a significant amount of bandwidth. SafeRide’s CAN Optimizer is said to dramatically decrease the bandwidth needed to do so by providing 98% to 99% reduction in data size, with a typical lossless compression ratio more than 15 times better than other compression algorithms that are currently on the market. This promises to benefit OEMs and fleet managers by further helping to uncover unknown cybersecurity vulnerabilities, identifying malfunctions before they happen, and even detecting misuse and abuse of vehicles. For greater insights and illumination, visit SafeRide Technologies.

Sponsored by Digi-Key

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