Efficient and Secure Video Encryption and Decryption using Neural Network

Abstract

With the increase of multimedia data are transmitted in the various fields like commercial, video conferencing, medical image system and military communication etc., which generally include some sensitive data. Therefore, there is a great demand for secured data storage and transmission techniques. Information security has traditionally been ensured with data encryption and authentication techniques. Different encryption standards have been developed where secrecy of communication is maintained by secret key exchange. In this paper we proposed the video encryption algorithm for secure video transmission using permutation and doping function, thereby security of the original cipher has been enhanced by addition of impurities to misguide the cryptanalyst. Since the encryption process is one way function, the artificial neural networks are best suited for this purpose in decryption algorithm. The ANNs have many characteristics such as learning, generalization, less data requirement, accuracy, ease of implementation, and software and hardware availability, which make it very attractive for many applications. Also need of key exchange prior to data exchange has been eliminated. This paper presents video compression after encryption algorithms such that compressing encrypted video can still be efficiently performed. In addition, this paper focuses the quality of video to make it efficient using enhancement technique.

 

Keywords: Artificial neural networks, Back propagation algorithm, Encryption, Decryption, Cipher and Decipher, Normalization, Lossless compression, Enhancement.