Secure Key Exchange using Neural Network
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 3, Issue 3
Abstract
Any cryptographic system is used to exchange confidential information securely over the public channel without any leakage of information to the unauthorized users. Neural networks can be used to generate a common secret key because the processes involve in Cryptographic system requires large computational power and very complex. Moreover Diffi hellman key exchange is suffered from man-in –the middle attack. For overcome this problem neural networks can be used.Two neural networks which are trained on their mutual output bits. The networks synchronize to a state with identical time dependent weights. .secret key exchange over a public channel and this key can be used in implementing any encryption algorithm.
Authors and Affiliations
Vineeta Soni*
A NOVEL APPROACH FOR SECRET DATA TRANSFER USING LSB BASED STEGANOGRAPHY WITH WATERMARKING
In any communication, security is the most important issue in today’s world. Lots of data security and data hiding algorithms have been developed in the last decade, which worked as motivation for our research. In simpl...
A STUDY ON THE 3-DIM. EIGENMODE OF THE RECTANGULAR RESONANT CAVITY BY FEM
FEM has been applied to obtain the 3-dim. eigenmode of the rectangular resonant cavity. The vector Helmholtz equation has been analysed for the resonant field strength in homogeneous media. An eigen-equation has b...
High Performance Dynamic Load Balancing With Inter-Dependent Tasks And Dependent Tasks in Cloud Computing Environments
Cloud computing is an entirely internet-based approach where all the applications and files are hosted on a cloud which consists of thousands of computers interlinked together in a complex manner. A load balancing...
A REVIEW PAPER ON SYNOPSIS FOR DENOISING MULTI-CHANNEL IMAGES IN PARALLEL MRI BY LOW RANK MATRIX DECOMPOSITION AND LPG PCA
Parallel magnetic resonance imaging has emerged as an effective means for high-speed imaging in various applications. The reconstruction of parallel magnetic resonance imaging (pMRI) data can be a computationally...
OPTIMISING THE TRAFFIC MOBILITY FOR SUSTAINABLE DEVELOPMENT FOR SALEM CITY
Urban traffic congestion is a recurring problem in large cities which has a negative impact on mobility, environment, local economy and quality of life. An efficient infrastructure for urban mobility is essential...