Cisco is Using Behavioral Data to Detect Malware

A recent patent publication by Cisco relates to detecting malware via client-server communication patterns.

Based on patterns within the characteristics associated with client-server communications, the system partitions data into a set of time windows. This data is used to determine the behavioral similarity between each of the time windows. The result is used as input for a machine learning-based malware detector, where the system can initiate mitigation actions based on the output.

This patent publication arrives one day after Ciscoannounced its purchase of Fluidmesh Networks, a hardware and software manufacturer of wireless network technologies. This acquisition strengthens Cisco’s already strong IP portfolio, consisting of over 250 patent and patent applications in the AI Cybersecurity sector. Specifically, this acquisition is expected to expand Cisco’s market reach in the Industrial IoT space.

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