Defense Against Secondary User Emulation Attack in Cognitive Radio Networks Using MC- MC Method

Cryptography is the process of transforming an intelligible message into one that's unintelligible and then re transforming that message back to its original form. This transformation along cryptography is done by using an algorithm. In this we propose a reliable Advanced Encryption Standard algorithm for the process of encryption and decryption. The AES (Advanced Encryption Standard) algorithm supports up to 256 bits which increases the number of rounds along encryption and decryption. The security level of the plaintext increases with respect to the number of rounds. These rounds are generated by using Markov Chain Monte Carlo method. Then the Affine transformation is used for the purpose of matrix generation this is used as a prior to cipher and inverse cipher. We propose a public key cryptography based primary user identification mechanism that prevents malicious secondary users from masquerading as primary users. We show that the proposed identification mechanism and the associated key management are computationally good. We also discuss some advantages and limitations of the proposed identification mechanism. Due to these functions we can reduce the primary user emulation attack with high accuracy. Keywords— AES Algorithm, MC-MC Method, Cognitive radios, Affine Transformation, Secondary User Emulation Attack.