Preventing DDoS using Bloom Filter: A Survey
It addresses DDoS defense for network security, but it is a survey paper, so it is incremental and does not present new results.
This paper surveys the use of Bloom Filters, a probabilistic data structure, to defend against Distributed Denial-of-Service (DDoS) attacks, which cause service unavailability and revenue loss for providers.
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.