A TRIPLE -KEY CHAOTIC NEURAL NETWORK FOR CRYPTOGRAPHY IN IMAGE PROCESSING
Shweta Suryawanshi, Devesh D. Nawgaje · 2012
Cryptography is the exchange of information among the users without leakage of information to others. Many public key cryptography are available which are based on number theory but it has the drawback of requirement of large computational power, complexity and time consumption during generation of key. To overcome these drawbacks, a neural network can be used to generate secret key. Many methods using chaotic neural network for cryptography here in this paper ‘Triple key ’ is using in the network to encrypt and decrypt the data. Three different parameters which are decided by user are used to scramble the image data and so hackers get many difficulties to hack the data hence providing more security. For simulation MATLAB software is used. The experimental results shows that algorithm successfully perform the cryptography and highly sensitive to the small changes in key parameters.