Presentation 2015-03-03
Anomaly Detection Based on Clustering of Network Traffic Characteristics Considering Results of Signature Based IDS Evaluation
Kohei IMAI, Shigeki AOKI, Takao MIYAMOTO,
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Abstract(in English) There is a lot of attacks over the Internet, intrusion detection systems (IDSs) are an active area of research. IDSs are classified into 2 categories. One is the signature-based IDS, and the other is the anomaly-based IDS. Signature-based IDSs can detect well-known attacks which have been previously stored in the database, but cannot detect unknown attacks. On the other hand, anomaly based-IDSs can detect unknown attacks by learning features of network traffic. In this paper, we extract feature vectors from header information of transmission and received packets and classify the feature vectors. Then, we evaluate the clusters by signature-based IDS. After that, we detect anomalies by refering to the defind clusters.
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Keyword(in English) Features of network traffic / Clustering / Anomaly detection / Signature-Based IDS
Paper # ICSS2014-64
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Committee ICSS
Conference Date 2015/2/24(1days)
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Registration To Information and Communication System Security (ICSS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Anomaly Detection Based on Clustering of Network Traffic Characteristics Considering Results of Signature Based IDS Evaluation
Sub Title (in English)
Keyword(1) Features of network traffic
Keyword(2) Clustering
Keyword(3) Anomaly detection
Keyword(4) Signature-Based IDS
1st Author's Name Kohei IMAI
1st Author's Affiliation Graduate School of Engineering, Osaka Prefecture University()
2nd Author's Name Shigeki AOKI
2nd Author's Affiliation College of Sustainable System Sciences, Osaka Prefecture University
3rd Author's Name Takao MIYAMOTO
3rd Author's Affiliation Graduate School of Engineering, Osaka Prefecture University:College of Sustainable System Sciences, Osaka Prefecture University
Date 2015-03-03
Paper # ICSS2014-64
Volume (vol) vol.114
Number (no) 489
Page pp.pp.-
#Pages 6
Date of Issue