Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/4651
Title: A probabilistic anomaly detection scheme to detect DHCP starvation attacks
Authors: Hubballi, Neminath
Keywords: Denial-of-service attack;Probability distributions;Signal detection;Wireless networks;Anomaly detection;Anomaly detection systems;Denial of Service;Detection performance;Dynamic host configuration protocols;IP addresss;Real networks;Internet protocols
Issue Date: 2017
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Tripathi, N., & Hubballi, N. (2017). A probabilistic anomaly detection scheme to detect DHCP starvation attacks. Paper presented at the 2016 IEEE International Conference on Advanced Networks and Telecommunications Systems, ANTS 2016, doi:10.1109/ANTS.2016.7947848
Abstract: Dynamic Host Configuration Protocol (DHCP) is used by clients in a network to configure their interface with IP address. DHCP is vulnerable to a popularly known Denial of Service (DoS) attack called DHCP starvation attack. In this paper, we highlight the practical difficulties of creating conventional starvation attack in wireless networks (802.11) and also describe two new variations of attacks which can be easily launched in wireless networks. Subsequently, we also propose an anomaly detection system which can detect all variations of starvation attacks. This anomaly detection system generates a probability distribution of various DHCP messages collected from a particular network as a normal profile and subsequently compare the current activity to this profile to detect starvation attacks. We experiment with different types of starvation attacks in a real network setup and report detection performance of our proposed method. © 2016 IEEE.
URI: https://doi.org/10.1109/ANTS.2016.7947848
https://dspace.iiti.ac.in/handle/123456789/4651
ISBN: 9781509021932
Type of Material: Conference Paper
Appears in Collections:Department of Computer Science and Engineering

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