Multimedia data security is becoming important with the continued growth of digital communications on the Internet. With the rapid development of various multimedia technologies, more multimedia data are generated and transmitted in the medical, commercial and military fields, which may include some sensitive information that should not be accessed or can only be partially exposed to general users. Encryption algorithms developed to protect text data are not suitable for multimedia applications because of the large data size and real-time constraint. Therefore, there is a strong demand for secure data storage and transmission techniques. Information security has traditionally been secured with data encryption and authentication techniques.
The secret of communication is maintained by the exchange of secret keys. In fact, the strength of the algorithm depends only on the length of the key. The work presented aims at the transmission of secure video using randomness in the algorithm of encryption, thus creating more confusion to obtain the original data. The security of the original figure has been improved by adding impurities to deflect the cryptanalyst. Since the encryption process is a one-way function, artificial neural networks are best suited for this purpose, since they have features such as high security, no distortion and their ability to perform for non-linear input-output characteristics, In the presented work the need for key is also eliminated the exchange, which otherwise is a requirement for most of the algorithms used today.
Information security has traditionally been secured with data encryption and authentication techniques. Different generic standards of data encryption have been developed. Although these encryption standards provide a high level of data protection, they are not efficient in encrypting multimedia content due to the large volume of digital image / video data. To address this problem, different methodologies of image / video encryption have been developed. In recent years there has been an explosion in the use of digital media. The industry is making significant investments to deliver digital audio, image and video information to consumers. Therefore, the security of multimedia data has become increasingly important. The Data Encryption Standard (DES) has been the primary encryption standard since 1977. However, in 1998 it has been shown to be vulnerable to brute-force attacks, differential cryptanalysis and linear cryptanalysis. Recognizing the need for a new encryption standard, several ciphers like AES, 3DES, MARS, RSA, Serpent, two fish, blowfish, IDEA and GOST have been proposed. Due to the voluminous data involved in the image / video, other encryption methodologies such as tuning, chaotic system and frequency domain algorithms have been developed.
The neural network plays a very important role in information security and a lot of work has been going in this direction. Whether it is image processing or otherwise, most of the algorithms used are generic, so key exchange has become a prerequisite to data exchange. Therefore, the strength of such encryption lies solely in the length of the key. In the presented work, the encryption process uses random substitutions, and the addition of impurities (doping) creating more confusion and misleading the cryptanalyst to obtain the encryption. At the receiving end, it uses artificial neural networks to obtain the original video. The elimination of the key exchange and the use of artificial neural networks of high security are the main strengths of the presented work.
It can be understood in the following video: