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A Study on Detecting of an Anonymity Network and an Effective Counterstrategy in the Massive Network Environment
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 Title & Authors
A Study on Detecting of an Anonymity Network and an Effective Counterstrategy in the Massive Network Environment
Seo, Jung-woo; Lee, Sang-jin;
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Due to a development of the cable/wireless network infra, the traffic as big as unable to compare with the past is being served through the internet, the traffic is increasing every year following the change of the network paradigm such as the object internet, especially the traffic of about 1.6 zettabyte is expected to be distributed through the network in 2018. As the network traffic increases, the performance of the security infra is developing together to deal with the bulk terabyte traffic in the security equipment, and is generating hundreds of thousands of security events every day such as hacking attempt and the malignant code. Efficiently analyzing and responding to an event on the attack attempt detected by various kinds of security equipment of company is one of very important assignments for providing a stable internet service. This study attempts to overcome the limit of study such as the detection of Tor network traffic using the existing low-latency by classifying the anonymous network by means of the suggested algorithm about the event detected in the security infra.
Anonymity network;Tor;VPN;
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