Secured Bluetooth Authentication Using Artificial Neural Networks
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2016, Vol 5, Issue 5
Abstract
Authentication in wireless networking is a mechanism to proof identities and avoid masking. The use of wireless devices and technology has made rapid growth in the market. In all such devices, user authentication is done once and is considered authentic forever until it is revoked by the user. We present a model of authentication, where a Bluetooth enabled mobile phone and laptop is taken. In the present paper, we simulate the connection between artificial intelligence and cryptography. We take the help of a pattern recognition technique of the Back Propagation Algorithm of Neural Network to store the encrypted password as used in any of such devices. In the proposed mechanism the encrypted password is stored as network parameters. Since reverse tracking from weight matrices is a difficult task, such systems become impossible to crack.
Authors and Affiliations
Menal Dahiya, Sumeet Gill
Keywords
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- EP ID EP28420
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