sis 18: e3

Research Article

Preventing DDoS using Bloom Filter: A Survey

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  • @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: Online First},
        volume={},
        number={},
        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
Ripon Patgiri1,*, Sabuzima Nayak1, Samir Kumar Borgohain1
  • 1: National Institute of Technology Silchar, Assam-788010, India
*Contact email: ripon@cse.nits.ac.in

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.