Eman Maali

Eman Maali

Ph.D. Student in Dyson

[Eman's amazing life story goes HERE]

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Online Anomaly detection for IoT Networks

Lightning Talk


There is widespread concern that development of IoT devices is performed without sufficient attention paid to security and privacy issues. Consequently, networks have a higher probability of incorporating vulnerable IoT devices that may be easy to compromise to launch cyber-attacks. Inclusion of IoT devices paves the way for a new category of anomalies to be introduced to networks. Here, we investigate the ability to find anomalies in IoT traffic via monitoring network communication patterns and using various fingerprinting and simple machine learning mechanisms.