Visual comparison of network anomaly detectors with chord diagrams
Johan Mazel, Romain Fontugne, Kensuke Fukuda · 2014
Network anomaly detection is a crucial task in traffic monitoring. During the past years, statistical algorithms have been a popular approach to this end. Network administrators are traditionally the ones that are deploying and maintaining network anomaly detection systems. They thus are in great need of information regarding detectors behaviors. However, network administrators lack techniques to further analyze and understand detection algorithms.