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VoIP-aware network attack detection based on statistics and behavior of SIP traffic
- Authors
- Lee, Jonghan; Cho, Kyumin; Lee, ChangYong; Kim, Seungjoo
- Issue Date
- Sep-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
- 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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Collections - School of Cyber Security > Department of Information Security > 1. Journal Articles
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Related Researcher
- Kim, Seung joo
- Department of Information Security