• Arpita Gupta
• Poonam Tiwari
• Deepak Nagaria

Cryptography is the secret code science of writing. Not only does it protect information from theft, it can also be used to authenticate users. Public keys are available in the feed-forward learning algorithm, depending on the number theory where the information or input travels in one direction and has the barrier that requires enormous computing energy, complexity and time consumption during the feed-forward learning generation of key. A neural network with a combination of feed forward & back propagation algorithm (BPA) can be used to overcome all these disadvantages, which decreases the mistake. The various criteria that the user uses to scramble the information so that hackers get more crisis to hack the information, thus offering greater safety. The simulated result demonstrates better results from the combinations of the two algorithms and thus uses lesser weights and neurons.

Artificial intelligence, neural network, encryption and decryption

"Cryptography Using Artificial Intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 2, page no.268-274, February-2020, Available :http://www.jetir.org/papers/JETIR2002045.pdf

"Cryptography Using Artificial Intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 2, page no. pp268-274, February-2020, Available at : http://www.jetir.org/papers/JETIR2002045.pdf