Identifying IP blocks with spamming bots by spatial distribution

Sangki Yun; Byungseung Kim; Saewoong Bahk; Hyogon Kim

doi:10.1587/transcom.E93.B.2188

Identifying IP blocks with spamming bots by spatial distribution

Sangki Yun, Byungseung Kim, Saewoong Bahk, Hyogon Kim

Department of Computer Science and Engineering

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

In this letter, we develop a behavioral metric with which spamming botnets can be quickly identified with respect to their residing IP blocks. Our method aims at line-speed operation without deep inspection, so only TCP/IP header fields of the passing packets are examined. However, the proposed metric yields a high-quality receiver operating characteristics (ROC), with high detection rates and low false positive rates.

Original language	English
Pages (from-to)	2188-2190
Number of pages	3
Journal	IEICE Transactions on Communications
Volume	E93-B
Issue number	8
DOIs	https://doi.org/10.1587/transcom.E93.B.2188
Publication status	Published - 2010 Aug

Keywords

Botnet
Detection
False positive
Identification
Spamming

ASJC Scopus subject areas

Software
Computer Networks and Communications
Electrical and Electronic Engineering

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10.1587/transcom.E93.B.2188

Cite this

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abstract = "In this letter, we develop a behavioral metric with which spamming botnets can be quickly identified with respect to their residing IP blocks. Our method aims at line-speed operation without deep inspection, so only TCP/IP header fields of the passing packets are examined. However, the proposed metric yields a high-quality receiver operating characteristics (ROC), with high detection rates and low false positive rates.",

keywords = "Botnet, Detection, False positive, Identification, Spamming",

author = "Sangki Yun and Byungseung Kim and Saewoong Bahk and Hyogon Kim",

year = "2010",

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AU - Yun, Sangki

AU - Kim, Byungseung

AU - Bahk, Saewoong

AU - Kim, Hyogon

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Y1 - 2010/8

N2 - In this letter, we develop a behavioral metric with which spamming botnets can be quickly identified with respect to their residing IP blocks. Our method aims at line-speed operation without deep inspection, so only TCP/IP header fields of the passing packets are examined. However, the proposed metric yields a high-quality receiver operating characteristics (ROC), with high detection rates and low false positive rates.

AB - In this letter, we develop a behavioral metric with which spamming botnets can be quickly identified with respect to their residing IP blocks. Our method aims at line-speed operation without deep inspection, so only TCP/IP header fields of the passing packets are examined. However, the proposed metric yields a high-quality receiver operating characteristics (ROC), with high detection rates and low false positive rates.

KW - Botnet

KW - Detection

KW - False positive

KW - Identification

KW - Spamming

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Identifying IP blocks with spamming bots by spatial distribution

Abstract

Keywords

ASJC Scopus subject areas

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