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An Efficient Detection Mechanism for Distributed Denial of Service\n (DDoS) Attack

2013/02/20 by K Saravanan, Kumarasamy, Saravanan, R. Asokan +1
Computer Science · #Advanced Malware Detection Techniques #Anomaly Detection Techniques and Applications #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Internet Traffic Analysis and Secure E-voting #Network Security and Intrusion Detection

paper · pdf · doi:10.48550/arxiv.1302.5158

openalex publication_date 2013/02/20 · openalex created_date 2022/10/04 · openalex updated_date 2026/07/28

Abstract

Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks have\nemerged as a popular means of causing collection particular overhaul\ndisruptions, often for total periods of instance. The relative ease and low\ncosts of initiation such attacks, supplemented by the present insufficient sate\nof any feasible defense method, have made them one of the top threats to the\nInternet centre of population nowadays. Since the rising attractiveness of\nweb-based applications has led to quite a lot of significant services being\nprovided more than the Internet, it is very important to monitor the network\ntransfer so as to stop hateful attackers from depleting the assets of the\nnetwork and denying services to rightful users. The most important drawbacks of\nthe presently existing defense mechanisms and propose a new-fangled mechanism\nfor defending a web-server against a DDoS attack. In the proposed mechanism,\nincoming traffic to the server is always monitored and some irregular rise in\nthe inbound traffic is without delay detected. The detection algorithm is based\non a statistical analysis of the inbound traffic on the server and a robust\nsuggestion testing structure. While the detection procedure is on, the sessions\nfrom the rightful sources are not disrupted and the load on the server is\nrestored to the usual level by overcrowding the traffic from the attacking\nsources. The accurate modules employ multifaceted detection logic and hence\ninvolve additional overhead for their execution. On the other hand, they have\nvery huge detection accuracy. Simulations approved on the proposed mechanism\nhave produced results that show efficiency of the proposed defense mechanism\nagainst DDoS attacks.\n

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