Network Anomaly Detection Through IP Traffic Analysis With Variable Granularity
Shohei Kamamura,
Yuki Takei,
Masato Nishiguchi
et al.
Abstract:A network anomaly detection method is proposed for large-scale, wide-range Internet Protocol (IP) networks. Because network behavior is projected onto communication traffic, anomaly detection can be achieved by properly analyzing the communication traffic flows. However, in wide-area IP networks, communication traffic flows are encapsulated by headers assigned by communication carriers and thus are observed as more macroscopic information. Therefore, accurately detecting the occurrence of anomalies in individu… Show more
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