A probabilistic approach to detecting network scans

This paper presents a probabilistic approach for detecting network scans in real-time. Unlike previous approaches, our model takes into consideration both the number of destinations or ports accessed by a source, as well as how unusual these accesses are. We demonstrate the effectiveness of our approach in terms of accuracy and throughput, based on an analysis of the unusual sources that were found in real-life packet trace files.