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RESEARCH FOR DETECTION AND AVOIDANCE OF LIVE DDoS ATTACK ON CLOUD ENVIRONMENT


Abstract

Abstract: Many systems use servers to manage and storetheir data, sometimes the servers are slowed down because of multiple userrequests. Most of which are attackers or unauthorized users and some aregenuine users. In computing, a denial-of-service (DoS) attack is an attempt tomake a machine or network resource unavailable to its intended users. Adistributed denial-of-service (DDoS) is where the attack source is more thanone, often thousands of unique IP addresses. Flooding is one of the typicalDDoS attacks that exploit normal TCP connections between a client and a targetweb server. In this project we are trying to devise a DDoS anomaly detectionmethod on Hadoop that implements a Map Reduce-based detection algorithm againstthe Flooding attacks.

Keywords: Attack,Hadoop ,Ssecurity , DDoS, Mapreduce..


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