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In recent years, the damage from cyber attacks caused by sophisticated malware has continuously increased. It is therefore becoming more difficult to take countermeasures using traditional approaches such as antivirus and firewall products. Against the intrusion of malware, we propose an automated countermeasure technology system named Autonomous Evolution of Defense, which mitigates the risk of actual...
As P2P (Peer-to-Peer) file sharing software is widely deployed, it causes some serious problems, such as network traffic congestion, unwanted file sharing by computer viruses that abuse P2P software, and so on. Detecting and controlling traffic of P2P software is an important issue to solve these problems. In this paper, we propose a basic architecture to observe large-scale network traffic, identify...
In this paper, we propose a bot detection method that enhances traffic analysis of Network based IDS (NIDS) by using process contextual information obtained from monitored machines. Existing NIDS classifies hosts suspected of doing both of the Command and Control (C&C) communication and infection activities as bots. However, this approach cannot conduct finer-grained analysis than IP address level,...
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