IoT Devices have become a prio target for cybercriminal botnet operators. Large botnets for rent are based on captured IoT devices under malicious control. Detecting and fighting botnet attacks have become a major challenge for IoT device operators. It is essential as an IoT operator to detect unfriendly attacks by botnet operators as fast as possible. Counteraction is a race between attackers and operators patching vulnerable fleets of IoT devices.
In this case study we show how to reduce false positive and false negative results on attack detection based on asvin Eagle Eye Monitoring.
asvin has setup an advanced analytics service at the smart campus of Murcia in Spain, to reduce false positive and false negative results in attack detection. For that, devices of the IoT solution provider Odins (https://www.odins.es/en/) have been boarded to the advanced behavior monitoring provided by asvin.
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