A scalable detection and prevention scheme for voice over internet protocol (VoIP) signaling attacks using handler with Bloom filter

A scalable detection and prevention scheme for voice over internet protocol (VoIP) signaling... In this paper, a two‐tier model has been developed that includes a Handler and a Bloom filter (HBF). In the first‐tier, the handler detects both the flooding and fake signaling attacks. The Bloom filter, in the second‐tier, prevents both the attacks before reaching the victim. In the existing systems, the packet level features are used which do not perform well for detection and prevention of both the attacks. In this work, flow level features are applied in both tiers. The proposed model is implemented on the innocent Session Initiation Protocol (SIP) server in the VoIP network. The two‐tier model ensures the reliability and trustworthiness between the service provider and the customer. Besides, it also provides billing information along with the exact call duration to a customer who makes a call. The experimental results show that the HBF results in a reduced detection time of 9 seconds with the reduced false positive (FP) of less than 1% and the false negative (FN) of 0.002% and also preserves the voice call quality during media conversation. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Network Management Wiley

A scalable detection and prevention scheme for voice over internet protocol (VoIP) signaling attacks using handler with Bloom filter

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Publisher
Wiley Subscription Services, Inc., A Wiley Company
Copyright
Copyright © 2018 John Wiley & Sons, Ltd.
ISSN
1055-7148
eISSN
1099-1190
D.O.I.
10.1002/nem.1995
Publisher site
See Article on Publisher Site

Abstract

In this paper, a two‐tier model has been developed that includes a Handler and a Bloom filter (HBF). In the first‐tier, the handler detects both the flooding and fake signaling attacks. The Bloom filter, in the second‐tier, prevents both the attacks before reaching the victim. In the existing systems, the packet level features are used which do not perform well for detection and prevention of both the attacks. In this work, flow level features are applied in both tiers. The proposed model is implemented on the innocent Session Initiation Protocol (SIP) server in the VoIP network. The two‐tier model ensures the reliability and trustworthiness between the service provider and the customer. Besides, it also provides billing information along with the exact call duration to a customer who makes a call. The experimental results show that the HBF results in a reduced detection time of 9 seconds with the reduced false positive (FP) of less than 1% and the false negative (FN) of 0.002% and also preserves the voice call quality during media conversation.

Journal

International Journal of Network ManagementWiley

Published: Jan 1, 2018

References

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