International Journal of Biomedical Imaging · Published 2025-01-01 · DOI 10.1155/ijbi/4643691
Security issues of telemedicine-based secure transmission of medical images find a very thin line drawn between diagnostic acceptability and cybersecurity. Partial but imperfect solutions emerge. JPEG2000 and HEVC concentrate only on compression, failing to provide any security consideration. Although secure, blockchain-based systems introduce latency that impedes fine-grained medical telepresence. The methods of homomorphic encryption are one of the very secure options, but they are almost impossible to carry out computationally. Watermarking schemes are usually incapable of providing real-time detection of tampering. Given these drawbacks, such as missing real-time tamper detection and poor integration between compression and security, as well as prohibitively high computational overhead, are our points to tackle; we recommend a hybrid framework based on adaptive compressed sensing (ACS), Secure Hash Algorithm 3 (SHA-3), and lightweight encryption. The proposed framework obtains an improved CR of up to 30% better than JPEG2000 (13.5 bpp against 10.2 on x-ray images), an 8.8% improvement in PSNR (43.2 vs. 39.7 dB), and a 6.6% increase in SSIM (0.97 compared to 0.91). Real-time tampering detection (5.6 ms) safeguards the system against replay attacks (6.2 ms). When optimized for low-latency transmission over constrained telemedicine scenarios, the algorithm shows greater efficiency and robustness than previously proposed methods.
Abstract from DOAJ. Public domain (CC0 1.0).
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