A Survey on Joint Compression and Encryption Techniques for Video Data
- 1 , Afganistan
- 2 ,
Copyright: © 2020 K. John Singh and R. Manimegalai. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Problem statement: When we send any video data over the network it consumes more time. This is due to the huge size of the video file when compared to text file. Therefore, video data should be compressed before sending to the destination. Another important factor during data transfer is security. Joint compression and encryption is employed to enable faster and secured transmission of video data. Approach: Compression and encryption algorithms can be classified into two main categories: Independent encryption technique and joint compression and encryption technique. Independent encryption techniques can further be classified as heavy weight and light weight encryption algorithms. There are many algorithms available in the joint compression and encryption technique. Comparative study of the above mentioned algorithms is done in this study. Results: Based on our study, found joint compression and encryption algorithms reduced 40% of the memory storage size and they increased execution speed up to 21%. Conclusion: Joint compression and encryption algorithms perform better in terms of speed and security when compared to independent encryption algorithms. This is because they employ compression before encryption.
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- Video Encryption Algorithm (VEA)
- Real Tome Video Encryption Algorithm (RVEA)
- Elliptic Curve Cryptography (ECC)
- Discrete Cosine Transform (DCT)