Research Article
Preventing DDoS using Bloom Filter: A Survey
@ARTICLE{10.4108/eai.19-6-2018.155865, author={Ripon Patgiri and Sabuzima Nayak and Samir Kumar Borgohain}, title={Preventing DDoS using Bloom Filter: A Survey}, journal={EAI Endorsed Transactions on Scalable Information Systems}, volume={5}, number={19}, publisher={EAI}, journal_a={SIS}, year={2018}, month={11}, keywords={Bloom Filter, Membership Filter, DDoS, Network Security, Attacks, Survey}, doi={10.4108/eai.19-6-2018.155865} }- Ripon Patgiri
Sabuzima Nayak
Samir Kumar Borgohain
Year: 2018
Preventing DDoS using Bloom Filter: A Survey
SIS
EAI
DOI: 10.4108/eai.19-6-2018.155865
Abstract
Distributed Denial-of-Service (DDoS) is a menace for service provider and prominent issue in network security. Defeating or defending the DDoS is a prime challenge. DDoS make a service unavailable for a certain time. This phenomenon harms the service providers, and hence, causes loss of business revenue. Therefore, DDoS is a grand challenge to defeat. There are numerous mechanism to defend DDoS, however, this paper surveys the deployment of Bloom Filter in defending the DDoS attack. The Bloom Filter is a probabilistic data structure for membership query that returns either true or false. Bloom Filter uses tiny memory to store information of large data. Therefore, packet information is stored in Bloom Filter to defend and defeat DDoS. This paper presents a survey on DDoS defending technique using Bloom Filter.
Copyright © 2018 Ripon Patgiri et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.