Securing multimedia videos using space-filling curves

• Published in: Multimedia tools and applications Vol. 81; no. 27; pp. 38685 - 38704
• Main Authors: Sadhya, Debanjan, Rathore, Santosh Singh, Rajput, Amitesh Singh, Anand, Abhinav
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.11.2022; Springer Nature B.V
• Subjects: Computer Communication Networks; Computer Science; Cryptography; Data Structures and Information Theory; Empirical analysis; Histograms; Multimedia; Multimedia Information Systems; Security; Special Purpose and Application-Based Systems; Space Filling Curves; diffusion; encryption; Multimedia security
• ISSN: 1380-7501; 1573-7721
• DOI: 10.1007/s11042-022-13066-w

Securing online multimedia content has become a significant concern in this digital era. Nowadays, several organizations provide premium video content for skill development, academics and entertainment. The usage of Space-Filling Curves (SFC) for video and image encryption was initiated in the late 20th century. Although it is a promising approach for enforcing multimedia security, a cryptanalysis on SFCs was performed, which rendered the technique useless. In this paper, we have presented two strategies for countering the chosen plaintext-based attack. In the first method, the notion of diffusion is introduced in video frames by swapping two colour channels. Alternatively, in the second method, the frame sequences are scrambled twice to overcome the constraint of their restricted movements. Finally, the output pixel intensity values are modified to model a uniform distribution. Our empirical results demonstrate the superiority of the presented work over state-of-the-art approaches involving multimedia security. We have also evaluated the security of our approaches through standard measures like entropy, histogram analysis, and differential analysis. Hence, the presented work provides a holistic framework for securely distributing multimedia content over both online and offline platforms.