International Journal of Computer
Trends and Technology

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Volume 3 | Issue 3 | Year 2012 | Article Id. IJCTT-V3I3P119 | DOI : https://doi.org/10.14445/22312803/IJCTT-V3I3P119

A Novel Datamining Based Approach for Remote Intrusion Detection

Renu Deepti.S, Loshma.G

Citation :

Renu Deepti.S, Loshma.G, "A Novel Datamining Based Approach for Remote Intrusion Detection," International Journal of Computer Trends and Technology (IJCTT), vol. 3, no. 3, pp. 430-435, 2012. Crossref, https://doi.org/10.14445/22312803/IJCTT-V3I3P119

Abstract

Today, as information systems are more open to the Internet,attacks and intrusions are also increasing rapidly so the importance of secure networks is also vital. New intelligent Intrusion Detection Systems which are based on sophisticated algorithms are in demand.Intrusion Detection System (IDS) is an important detection used as a countermeasure to preserve data integrity and system availability from attacks. It is a combination of software and hardware that attempts to perform intrusion detection.In data mining based intrusion detection system, we should make use of particular domain knowledge in relation to intrusion detection in order to efficiently extract relative rules from large amounts of records.This paper proposes boosting method for intrusion detection and it is possible to detect the intrusions in all the Systems, without installing the Software in client System (like client-server) via Web service (Apache tomcat) by using the ip address of the client system.

Keywords

Boosting, data mining, anomaly detection, network intrusion detection system.

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