挙動に基づく同時多発低レート攻撃の検知案および実験検証

Translated title of the contribution: A Behavior-based Detection Method for Outbreaks of Low-rate Attacks

ヤオカイ フォン, 堀 良彰, 櫻井 幸一, 竹内 純一

Research output: Contribution to journalArticle

Abstract

Low-rate attacks can conceal their traffic because they are very much like normal communication. Thus, although a number of volume-based detection techniques that monitor the aggregate or per link traffic load of a network are able to identify anomalies that trigger significant traffic volume changes, they are not applicable to low-rate attacks. Because of this, the problem of low-rate attacks has been attracting many researchers in the community of network security. In this study, we propose for the first time a method based on the normal traffic mode for detecting outbreaks of low-rate attacks. Some behavior-based approaches have been proposed for anomaly detections. They, however, are not able to be used for low-rate attacks. The experimental result indicates our proposal is efficient.
Translated title of the contributionA Behavior-based Detection Method for Outbreaks of Low-rate Attacks
Original languageJapanese
Pages (from-to)37-42
Number of pages6
JournalIEICE technical report
Volume111
Issue number495
Publication statusPublished - Mar 9 2012

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