Monitoring smartphones for anomaly detection

摘要: In this paper we demonstrate how to monitor a smartphone running Symbian operating system and Windows Mobile in order extract features for anomaly detection. These are sent remote server because complex intrusion detection on kind of mobile device still is not feasible due capability hardware limitations. We give examples compute relevant introduce the top ten applications used by phone users based study 2005. The usage these recorded monitoring client visualized. Additionally, results public self-written malwares shown. For improving performance, Principal Component Analysis was applied which lead decrease about 80% amount monitored features.