Intrusion Detection Algorithm for data security

International Journal of Computer Trends and Technology (IJCTT)          
© 2015 by IJCTT Journal
Volume-29 Number-3
Year of Publication : 2015
Authors : Neeraj Kumar, Dr. Upendra Kumar, Dr. G. Sahoo


Neeraj Kumar, Dr. Upendra Kumar, Dr. G. Sahoo "Intrusion Detection Algorithm for data security". International Journal of Computer Trends and Technology (IJCTT) V29(3):157-160, November 2015. ISSN:2231-2803. Published by Seventh Sense Research Group.

Abstract -
Rapid development in Network Technologies system in this I.T. era huge flow of data from network every moment, so obviously there should be a strong Network Intrusion Detection system (NIDS)is an important detection system that is used as a counter measure to prevent data integrity and system availability from attack [14] or a robust mechanism require to distinguish between relevant and non-relevant data particularly acting as an attack. Thus to provide total network security from intrusion this paper contributed to propose a innovative Intrusion Detection Algorithm (HDensities of data points known as Hamming density. Hamming density [8] is k-nearest neighbor divided by Hamming-distance) Density based Outlier Detection in data mining on UCI repository KDD Cup’99(Network Intrusion) data set. Simulation and Compare the result in finding the intrusion by our propose DBOD from other exiting algorithms like LOF in own Simulator and found comparatively more accuracy and increase in detecting the number of Intrusion in our proposed work.

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Hamming Distance, Outliers, Outlier Detection.