Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/4663
Title: VoIPFD: Voice over IP flooding detection
Authors: Golait, Diksha
Hubballi, Neminath
Keywords: Denial-of-service attack;Floods;Internet telephony;Poisson distribution;Probability distributions;Signal detection;Voice/data communication systems;Anomaly detector;Denial of Service;Detection performance;Flooding attacks;Memory resources;Session initiation protocol;Signaling protocol;Text-based protocols;Internet protocols
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Golait, D., & Hubballi, N. (2016). VoIPFD: Voice over IP flooding detection. Paper presented at the 2016 22nd National Conference on Communication, NCC 2016, doi:10.1109/NCC.2016.7561121
Abstract: Session Initiation Protocol (SIP) is a popularly used signaling protocol to manage connections between different user agents of a Voice over IP (VoIP) communication. SIP being a text based protocol is vulnerable to flooding, one of the popularly known Denial of Service (DoS) attacks. This attack can render VoIP servers unusable with depletion of CPU and memory resources. Given the accessibility of tools to generate these attacks and the ease with which these attacks can be launched, it is important to detect them. In this paper, we describe VoIPFD, an anomaly detector for detecting VoIP flooding attacks on SIP. Like any other anomaly detector, VoIPFD generates the normal profile of SIP messages as a probability distribution. We identify and generate Poisson distribution models for few SIP messages in order to detect specific flooding attacks. We simulate an enterprise VoIP communication and experiment with varied rates of flooding and report the detection performance of VoIPFD. © 2016 IEEE.
URI: https://doi.org/10.1109/NCC.2016.7561121
https://dspace.iiti.ac.in/handle/123456789/4663
ISBN: 9781509023615
Type of Material: Conference Paper
Appears in Collections:Department of Computer Science and Engineering

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetric Badge: