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VoIP-aware network attack detection based on statistics and behavior of SIP traffic

Authors
Lee, JonghanCho, KyuminLee, ChangYongKim, Seungjoo
Issue Date
9월-2015
Publisher
SPRINGER
Keywords
VoIP; SIP; VoIPDoS; SPAM; Attack detection; Statistic-based detection; Behavior-based detection
Citation
PEER-TO-PEER NETWORKING AND APPLICATIONS, v.8, no.5, pp.872 - 880
Indexed
SCIE
SCOPUS
Journal Title
PEER-TO-PEER NETWORKING AND APPLICATIONS
Volume
8
Number
5
Start Page
872
End Page
880
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/92533
DOI
10.1007/s12083-014-0289-8
ISSN
1936-6442
Abstract
VoIP is one of the most popular Internet services. However, VoIP service is vulnerable to several potential security threats. Moreover, existing IP-based security solutions are unable to inspect call setup information. In this paper, we propose a VoIP-aware attack-detection scheme. The proposed scheme is able to detect VoIP network attacks including VoIP DoS and SPAM. It can detect VoIP DoS attacks with low false negatives using a statistics-based detection algorithm and can recognize SPAM with low false positives using a caller behavior-based detection algorithm. We have included experimental results to confirm the proposed scheme.
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