Hybrid Image Encryption Using LWE-Based Post-Quantum Key Encapsulation and Chaos-Based Symmetric Encryption

Clicks: 31
ID: 312650
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #18 of 705 articles by views in Journal of Computing & Biomedical Informatics

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 705 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
The presented paper introduces a hybrid image-encryption system based on Learning with Errors (LWE)-based post-quantum key encapsulation and chaos-based symmetric encryption in order to secure visual information with reference to the classical and post-quantum threats. LWE is used as a secure means to generate and defend symmetric encryption keys, and chaotic maps as a pseudo-random keystream generator with high throughput and confusion / diffusion. Instead of asserting to provide unconditional quantum security, the framework is said to be tested with reference to explicit adversarial schemes, effective key length under Grover scheme and parametrized lattice hardness and pragmatic cryptography schemes. Experimental evidence on classical and medical images has shown that it can be heavily diffused, high entropy, low ciphertext correlation, and sound decryption, and has been analyzed in terms of runtime and scalability. The findings reveal that the considered design offers a convenient hybrid solution to post-quantum-conscious image encryption.
Reference Key
imported_1777055787_69ebb82b661dc Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Bharti Ahuja Salunke, Sharad Salunke
Journal Journal of Computing & Biomedical Informatics
Year 2026
DOI
10.56979/1002/2026/1216
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.