A Method for Securely Transmitting Large Video Files Using Chaotic Compression and Encryption
Authors: Shiladitya Bhattacharjee, Subha Bhattacharya, Arnab Chatterjee et al.
Summary
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.
Relevance
Read next because A Method for Securely Transmitting Large Video Files Using Chaotic Compression and Encryption overlaps with clean result "Training one persona to emit a [ZLT] marker without bystanders adopting it has a one-cell-wide LR x epochs window on Qwen2.5-7B-Instruct (LOW confidence)", clean result "The marker is a representational handle, not a behavioural one — sharing it between a villain persona and the assistant transfers no misalignment (HIGH confidence)", experiment "Implement Chen et al. persona-vector extraction recipe and compare to project's centroid-difference recipe". Matching terms: source, rate, compare. Source: arxiv cs.CR (Cryptography and Security).
Abstract
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 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.