Journal
1ST INTERNATIONAL CONFERENCE ON COMPUTING COMMUNICATION CONTROL AND AUTOMATION ICCUBEA 2015
Volume -, Issue -, Pages 280-285Publisher
IEEE
DOI: 10.1109/ICCUBEA.2015.60
Keywords
Denial of service attack; Naive Bayesian; Network Intrusion Detection System
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With a growth of E-commerce and availability of resources over internet number of attacks on servers providing these services, resources are also increased. Denial of service and Distributed Denial of Service are most widely launched attacks against these servers for preventing legitimate users from accessing these services. This paper presents architecture of offline Signature based Network Intrusion Detection System for detection of Denial/Distributed Denial of Service attacks against HTTP servers using distributed processing and Naive Bayesian classifier. Experimental results are provided to prove the efficiency of proposed architecture.
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