Securing MANET using Artificial Neural Networks
Manisha1, Partibha Yadav2
1Manisha, Student, Department of Computer Science & Engg , P.D.M. College of Engg. For Women, Bahadurgarh (Haryana), India.
2Partibha Yadav, Lecturer, Department of Computer Science & Engg , P.D.M. College of Engg. For Women, Bahadurgarh (Haryana), India.
Manuscript received on June 04, 2013. | Revised Manuscript received on June 28, 2013. | Manuscript published on July 05, 2013. | PP: 119-122 | Volume-3 Issue-3, July 2013. | Retrieval Number: C1654073313/2013©BEIESP
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© The Authors. Published By: 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: In present paper, we are providing enhanced security to Manet using the Back Propagation Method of Artificial Neural Networks. Here we eliminate the use of files for storing the passwords or other encrypted content used in the network , by replacing them with much secure weight matrix of Back Propagation. The neural network system is trained for some data and then file used for storing the data is eliminated, resulting confidentiality of connection. Thus the method makes the system more secure.
Keywords: Mobile Adhoc Network, Artificial Neural Network, Pattern Mapping Technique.