Simulating Manual Signature using Elman Back Propagation Model to Create Pseudo Digital Signature
Ekta Narwal1, Sumeet Gill2
1Ekta Narwal*, Department of Mathematics, Maharshi Dayanad University, Rohtak. India.
2Sumeet Gill, Department of Mathematics, Maharshi Dayanad University,Rohtak. India.
Manuscript received on November 19, 2019. | Revised Manuscript received on 25 November, 2019. | Manuscript published on December 10, 2019. | PP: 3548-3551 | Volume-9 Issue-2, December 2019. | Retrieval Number: B6452129219/2019©BEIESP | DOI: 10.35940/ijitee.B6452.129219
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© The Authors. 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: Manual Signatures are used in authentication worldwide. But they are still not used in VANETs and in ad hoc networks for security. In our research we try to use manual signature in place of Digital Signatures for the security of message and stimulated the same by pattern recalling mechanism of Artificial Neural Network using Elman Back Propagation Algorithm to create pseudo digital signature. These pseudo digital signatures are now used as the identity of message sender in communication. We also maintained the speed of manual signature recognition and verification to stop the delay in identification of the sender.
Keywords: VANETs, Elman Back Propagation Model, Vehicle Privacy, Artificial Neural Network.
Scope of the Article: Neural Information Processing