Preventing DDoS using Bloom Filter: A Survey

October 15, 2018 ยท The Cartographer ยท ๐Ÿ› EAI Endorsed Transactions on Scalable Information Systems

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
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"Title-pattern auto-detect: Preventing DDoS using Bloom Filter: A Survey"

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Authors Ripon Patgiri, Sabuzima Nayak, Samir Kumar Borgohain arXiv ID 1810.06689 Category cs.NI: Networking & Internet Cross-listed cs.CR Citations 26 Venue EAI Endorsed Transactions on Scalable Information Systems Last Checked 2 days ago
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, 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 a 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.
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