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A Method for Securely Transmitting Large Video Files Using Chaotic Compression and Encryption

arXiv Security Archived May 19, 2026 ✓ Full text saved

arXiv:2605.16563v1 Announce Type: new Abstract: Conventional techniques for compression and encryption are frequently laborious and resource-intensive, rendering them inappropriate for real-time applications. A plethora of research has been presented in the current literature to address these difficulties together; yet, it fails to propose any suitable strategy. Therefore, this study introduces an innovative simultaneous data compression and encryption (SDCE) system specifically designed for lar

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    Computer Science > Cryptography and Security [Submitted on 15 May 2026] A Method for Securely Transmitting Large Video Files Using Chaotic Compression and Encryption Shiladitya Bhattacharjee, Subha Bhattacharya, Arnab Chatterjee, Sulabh Bansal, Saurabh Shukla Conventional techniques for compression and encryption are frequently laborious and resource-intensive, rendering them inappropriate for real-time applications. A plethora of research has been presented in the current literature to address these difficulties together; yet, it fails to propose any suitable strategy. Therefore, this study introduces an innovative simultaneous data compression and encryption (SDCE) system specifically designed for large video files. The methodology amalgamates chaotic map-based encryption with Huffman encoding for lossless compression into a cohesive framework, markedly diminishing computational overhead and processing duration while augmenting data security. The logistic map is utilized to produce a pseudo-random chaotic sequence for XOR-based encryption, guaranteeing robust security against unwanted access. The research findings demonstrate its efficacy in enhancing data privacy compared to other existing and related strategies, particularly in terms of generating greater entropy and avalanche effects. It produces superior throughput, compression ratio, peak signal-to-noise ratio (PSNR), and reduced bits per rate (BPC), along with a smaller percentage of data loss, which further supports its ability to provide enhanced data integrity compared to other existing methods. Subjects: Cryptography and Security (cs.CR); Multimedia (cs.MM); Image and Video Processing (eess.IV) MSC classes: 68P25, 68W10 Cite as: arXiv:2605.16563 [cs.CR]   (or arXiv:2605.16563v1 [cs.CR] for this version)   https://doi.org/10.48550/arXiv.2605.16563 Focus to learn more Submission history From: Arnab Chatterjee [view email] [v1] Fri, 15 May 2026 19:07:02 UTC (855 KB) Access Paper: view license Current browse context: cs.CR < prev   |   next > new | recent | 2026-05 Change to browse by: cs cs.MM eess eess.IV References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)
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    arXiv Security
    Category
    ◬ AI & Machine Learning
    Published
    May 19, 2026
    Archived
    May 19, 2026
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