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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

Impact Factor: RJIF 5.2

International Journal of Applied Research

Vol. 1, Issue 7, Part F (2015)

A Human Cell Theory Adaptive Intrusion Detection Model for Real time Network

Author(s)
Monika Jain, Vijay Bhardwaj
Abstract
Security is always the critical challenge for any distributed information sharing system. These kinds of network suffer from different kind of man-in-middle attacks. To improve the network reliability it is required to identify these attacks over the network. In this work, an intelligent human cell theory adaptive model is presented. The presented model has performed the communication parameter analysis to identify different kind of DOS attacks. The result shows that the work has successfully as well provided the effective recognition rate.
Pages: 300-303  |  557 Views  13 Downloads
How to cite this article:
Monika Jain, Vijay Bhardwaj. A Human Cell Theory Adaptive Intrusion Detection Model for Real time Network. International Journal of Applied Research. 2015; 1(7): 300-303.
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