d-ACTM/VT: A Distributed Virtual AC Tree Detection Method
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概要
- 論文の詳細を見る
In this paper, we propose d-ACTM/VT, a network-based worm detection method that effectively detects hit-list worms using distributed virtual AC tree detection. To detect a kind of hit-list worms named Silent worms in a distributed manner, d-ACTM was proposed. d-ACTM detects the existence of worms by detecting tree structures composed of infection connections as edges. Some undetected infection connections, however, can divide the tree structures into small trees and degrade the detection performance. To address this problem, d-ACTM/VT aggregates the divided trees as a tree named Virtual AC tree in a distributed manner and utilizes the tree size for detection. Simulation result shows d-ACTM/VT reduces the number of infected hosts before detection by 20% compared to d-ACTM.
- Information and Media Technologies 編集運営会議の論文
著者
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Okada Ken-ichi
Faculty Of Science And Technology Keio University
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Shigeno Hiroshi
Faculty Of Science And Technology Keio University
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Kawaguchi Nobutaka
Faculty Of Science And Technology Keio University
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