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Multiuser Authentication and Intruder Detection using Neural Computing
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 64 - Number 17 |
| Year of Publication: 2013 |
| Authors: Suma Santosh, Savita S. Biradar |
10.5120/10724-5655
|
Suma Santosh, Savita S. Biradar . Multiuser Authentication and Intruder Detection using Neural Computing. International Journal of Computer Applications. 64, 17 ( February 2013), 8-11. DOI=10.5120/10724-5655
Abstract
The objective of the paper is to mainly detect the Intruder activity in security systems and to authorize the correct person to make use of resources which is done using Artificial Neural Networks. Security is a broad topic and covers many issues. Malicious people trying to gain some benefit, attention, or to harm someone intentionally cause most security problems. An Intrusion Detection System detects attacks as soon as possible and takes appropriate action. ANN provides Multilevel, Multivariable security system, which can fulfill the strong requirement of security. Apart from providing security, ANN will have the capability to detect, if any intrusion happens.
References
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- J. Hertz, A. Krogh, and R. G. Palmer, Introduction to the theory of Neural Computation, Addison-Wesley, 1991.
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