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With the increasingly widespread application of computer network, it has become a critical task to detect anomalous behaviors in the field of network security. In this paper we develop an entropy-based statistical approach that determines and reports entropy contents for variables in the Management Information Base. The change of the entropy value indicates that a massive network event or an anomaly...
Honey nets are an increasingly popular choice deployed by organizations to lure attackers into a trap network, for collection and analysis of unauthorized network activity. A Honey net captures substantial amount of data and logs for analysis in order to identify malicious activities perpetrated by the hacker community. The analysis of this large amount of data is a challenging task. Through this...
Since the most domestic popular botnets based on private protocols use encrypted communication, the performance of traditional anomaly detection methods based on DPI technology for botnet is not ideal. This paper, with utilization of the feature that there exists periodic communication behavior in botnet, regards source IP, destination IP and destination port as the unique identifier to extract the...
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