Framework For Wireless Network Security Using Hash Function Based On Feed Forward Artificial Neural Network

Every time computer user asked to keep secret their passwords for various purposes. But memorization of all the passwords always is a tedious job. In this paper, we construct a Hash Function based on Feed Forward Neural Network. Hash Function is one way and secure against Man-in-the-Middle attack. Wired Equivalent Privacy is a well known Wireless Protocol used by every wireless communication user. We try to enhance the security of Wireless Communication by making the WEP protocol password more strong. The network parameters of Feed Forward Neural Network act as a secret key for generating the Hash Function.