作者: Sainath Batthalla , Mayank Swarnkar , Neminath Hubballi , Maitreya Natu
DOI: 10.1109/ARES.2016.19
关键词:
摘要: Understanding the user behavior in Voice over IP (VoIP) communication has twofold advantages. It helps detecting anomalies and also planning VoIP infrastructure deployment optimization. Anomalies arise out of various attacks misuses like flooding, malformed messages spam messages. In this paper we propose Profiler a method for profiling activities at level. For users identify set parameters compute statistics these each using traffic. Subsequently use to classify (and detect anomalies). We simulate an enterprise network experiment with large scale dataset different types high success rate.