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Detecting, Capturing and Resolving of DDoS Attacks with Hadoop


Ms. Renuka R Kajale , PES Modern College Of Engineering Pune; Nakul Chorey, PES Modern College Of Engineering Pune; Rujuta Kate, PES Modern College Of Engineering Pune; Prajakta Khatavkar, PES Modern College Of Engineering Pune


DDoS, DoS, Map-Reduce, Hadoop


Many systems use servers to manage and store their data, sometimes the servers are slowed down because of multiple user requests. Most of which are attackers or unauthorized users and some are genuine users. In computing, a denial-of- service (DoS) attack is an attempt to make a machine or network resource unavailable to its intended users. A distributed denial-of-service (DDoS) is where the attack source is more than one, often thousands of unique IP addresses. Flooding is one of the typical DDoS attacks that exploit normal TCP connections between a client and a target web server. In this project we are trying to devise a DDoS anomaly detection method on Hadoop that implements a MapReduce-based detection algorithm against the Flooding attacks.

Other Details

Paper ID: IJSRDV6I22079
Published in: Volume : 6, Issue : 2
Publication Date: 01/05/2018
Page(s): 3701-3702

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