Intrusion Detection System Performing A Distributed Novel Hybrid Intrusion Detection Framework
P. E. Elango1, S. Subbaiah2
1P. E. Elango, Ph.D, Research Scholar, PG Research, Department of Computer Science, Periyar University, Salem (Tamil Nadu), India.
2S. Subbaiah, Assistant Professor, Department of Computer Applications, Vivekananda College of Arts & Science Autonomous, (Tamil Nadu), India.
Manuscript received on 11 October 2019 | Revised Manuscript received on 20 October 2019 | Manuscript Published on 02 November 2019 | PP: 454-459 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B10690982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1069.0982S1119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Intrusion detection is the one of the major problem in network security, as the use of computer system and network increases, securing data is one of the important in order to achieve secure data transmission without hacking. Intrusions are the activities that violate the security policy of system. The process used to identify intrusions. Today network securities are used in various applications like protect vital information while still allowing access to those who need Trade secrets, Medical records etc. In this paper proposed to a novel hybrid intrusion detection framework methodology and its four various level of phases.
Keywords: WSN, Intrusion, Malicious, Attacks, Hybrid, Storage Area.
Scope of the Article: Patterns and Frameworks