Abstract:The purpose of this paper is to propose a more efficient and accurate distributed denial of service (DDoS) attack detection mechanism that detects DDoS attacks by monitoring the incoming traffic on the edge routers of ISP networks. It can be implemented as a module or agent function on the machine that is responsible for processing router
Association rule mining is always considered to be the most important task for mining data in almost every field. There have been many algorithms devised for mining frequent patterns till today. Algorithm evolutions started with AIS which was soon upgraded and named as Apriori. Apriori is most widely used algorithm in terms of data mining. In this paper an improved approach to Apriori termed as reverse Apriori is proposed and the results are compared with the classical approach.
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