Concept & Proposed Architecture of Hybrid Intrusion Detection System using Data Mining
Sandeep Kumar Singh1, Nishant Chaurasia2, Pragya Sharma3
1Sandeep Kumar Singh, Department of Computer Science and Engineering, RGPV Bhopal, India.
2Nishant Chaurasia, Department of Computer Science and Engineering, RGPV Bhopal, India.
3Pragya Sharma, Department of Computer Science and Engineering, RGPV Bhopal, India.
Manuscript received on May 12, 2013. | Revised Manuscript received on June 13, 2013. | Manuscript published on June 30, 2013. | PP: 274-276 | Volume-2, Issue-5, June 2013. | Retrieval Number: E1628062513/2013©BEIESP
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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: Now day’s security is the primary concerned in the field of computer science. Intrusion detection system provides stronger security services with the help of rules. This paper has developed a security model based on hybrid intrusion detection system using data mining approach. Proposed security model is the combing network based and host based with efficient data mining approach to detect any type of intrusion which coming from public network or occurring in computer system. Basically this model work on misuse and anomaly detection mode, it will use an approach to extract features from arriving data packets and will apply data mining algorithm to get the rule for match normal and abnormal behavior.
Keywords: Intrusion Detection System, Security, Network System, Host System, Data mining, association.