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Mobile Anomaly Detection for Security by AnantSharma is a document available to read on EtoBox.

What is Mobile Anomaly Detection for Security about?

The document proposes using anomaly detection in cellular networks to enhance security. It describes using two approaches: LZ-based detection and Markov-based detection. The LZ-based approach uses data compression and an exponentially weighted moving average to create a user profile and detect anomalies. The Markov-based approach uses a probability-based model to predict locations and detect anomalies. The LZ-based approach has a lower false alarm rate and higher detection rate due to the use of the moving

Author

AnantSharma

Language

EN