Anomaly Detection in Distributed Denial of Service Attack using Map Reduce Improvised Counter Based Algorithm in Hadoop
Y.S Kalai Vani1, P. Ranjana2, M. Sankari3
1Y.S.Kalai Vani MCA M,Phil, (PhD), Associate in Sindhi College, Banaglore and doing research in Hinsdustan Institute of Technology, Chennai, India.
2Dr. P.Ranjana, working as a Professor in Department of Computer Science in Hindustan Institute of Technology, Chennai, India.
3M.Sankari ,MTech, (PhD), Research Scholar, CSE Hindustan Institute of Technology and Science Chennai, India.

Manuscript received on November 12, 2019. | Revised Manuscript received on November 25, 2019. | Manuscript published on 30 November, 2019. | PP: 4668-4671 | Volume-8 Issue-4, November 2019. | Retrieval Number: D8431118419/2019©BEIESP | DOI: 10.35940/ijrte.D8431.118419

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Abstract: A Distributed denial of Service attacks(DDoS) is one of the major threats in the cyber network and it attacks the computers flooded with the Users Data Gram packet. These types of attacks causes major problem in the network in the form of crashing the system with large volume of traffic to attack the victim and make the victim idle in which not responding the requests. To detect this DDOS attack traditional intrusion detection system is not suitable to handle huge volume of data. Hadoop is a frame work which handles huge volume of data and is used to process the data to find any malicious activity in the data. In this research paper anomaly detection technique is implemented in Map Reduce Algorithm which detects the unusual pattern of data in the network traffic. To design a proposed model, Map Reduce platform is used to hold the improvised algorithm which detects the (DDoS) attacks by filtering and sorting the network traffic and detects the unusual pattern from the network. Improvised Map reduce algorithm is implemented with Map Reduce functionalities at the stage of verifying the network IPS. This Proposed algorithm focuses on the UDP flooding attack using Anomaly based Intrusion detection system technique which detects kind of pattern and flow of packets in the node is more than the threshold and also identifies the source code causing UDP Flood Attack.
Keywords: Anomaly detection, Denial of service, Hadoop, Mapreduce.
Scope of the Article: Parallel and Distributed Algorithms.