Abstract
Nowadays, video security systems are essential for supervision everywhere, for example video conference, WhatsApp, ATM, airport, railway station, and other crowded places. In multi-view video systems, various cameras are producing a huge amount of video content which makes it difficult for fast browsing and securing the information. Due to advancement in networking, digital cameras, and media, interactive sites, the importance of privacy and security is rapidly increasing. Hence, nowadays the security of digital videos become an emerging research area in the multimedia domain; especially when the communication happens over the Internet. Cryptography is an essential practice to protect the information in this digital world. Standard encryption techniques like AES/DES are not optimal and efficient in case of videos. Therefore, a technique is immediately required, which can provide the security to video content. In this paper, we address the video security-related issues and their solutions. An optimized version of the genetic algorithm is employed to solve the aforementioned issues through modeling the simplified version of genetic processes. It is used to generate a frame sequence such that the correlation between any two frames is minimized. The frame sequence determines the randomization in order of frames of a video. The proposed method is not only fast but also more accurate to enhance the efficiency of an encryption process.
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Sharma, S., Kumar, K. (2018). GUESS: Genetic Uses in Video Encryption with Secret Sharing. In: Chaudhuri, B., Kankanhalli, M., Raman, B. (eds) Proceedings of 2nd International Conference on Computer Vision & Image Processing . Advances in Intelligent Systems and Computing, vol 703. Springer, Singapore. https://doi.org/10.1007/978-981-10-7895-8_5
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DOI: https://doi.org/10.1007/978-981-10-7895-8_5
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