XVC scheme-based secret sharing model with hybrid optimization algorithm for visual cryptography DOI
Manoj Kumar, Shashi Shekhar

Signal Image and Video Processing, Journal Year: 2024, Volume and Issue: 18(S1), P. 309 - 323

Published: May 5, 2024

Language: Английский

Blockchain based medical image encryption using Arnold’s cat map in a cloud environment DOI Creative Commons
Saba Inam, Shamsa Kanwal,

Rabia Firdous

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: March 7, 2024

Abstract Improved software for processing medical images has inspired tremendous interest in modern medicine recent years. Modern healthcare equipment generates huge amounts of data, such as scanned and computerized patient information, which must be secured future use. Diversity the industry, namely form is one largest challenges researchers. Cloud environment Block chain technology have both demonstrated their own The purpose this study to combine technologies safe secure transaction. Storing or sending data through public clouds exposes information into potential eavesdropping, breaches unauthorized access. Encrypting before transmission crucial mitigate these security risks. As a result, Blockchain based Chaotic Arnold’s cat map Encryption Scheme (BCAES) proposed paper. BCAES first encrypts image using encryption scheme then sends encrypted Server stores signed document plain blockchain. blockchain often considered more due its distributed nature consensus mechanism, receiver will ensure integrity authenticity after decryption stored Various analysis techniques been used examine scheme. results like key sensitivity analysis, space Information Entropy, histogram correlation adjacent pixels, Number Pixel Change Rate, Peak Signal Noise Ratio, Unified Average Changing Intensity, similarity Mean Square Error, Structural Similarity Index Measure illustrated that our an efficient compared some literature. Our current achievements surpass all previous endeavors, setting new standard excellence.

Language: Английский

Citations

21

Blockchain driven medical image encryption employing chaotic tent map in cloud computing DOI Creative Commons
Usman Shahid, Shamsa Kanwal,

Mahwish Bano

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 20, 2025

Data security during transmission over public networks has become a key concern in an era of rapid digitization. Image data is especially vulnerable since it can be stored or transferred using cloud services, making open to illegal access, breaches, and eavesdropping. This work suggests novel way integrate blockchain technology with Chaotic Tent map encryption scheme order overcome these issues. The outcome Blockchain driven Map Encryption Scheme (BCTMES) for secure picture transactions. idea behind this strategy ensure extra degree by fusing the distributed immutable properties intricate offered chaotic maps. To that image transformed into cipher form resistant several types attacks, proposed BCTMES first encrypts technique. accompanying signed document safely kept on blockchain, encrypted subsequently uploaded cloud. integrity authenticity are confirmed upon retrieval utilizing blockchain's consensus mechanism, adding another layer against manipulation. Comprehensive performance evaluations show provides notable enhancements important parameters, such as entropy, correlation coefficient, sensitivity, peak signal-to-noise ratio (PSNR), unified average changing intensity (UACI), number pixels change rate (NPCR). In addition providing good defense brute-force high size [Formula: see text] further strengthens system's resilience. sum up, effectively addresses prevalent risks offers complete solution may implemented cloud-based settings where privacy crucial. promising path investigation practical uses transmission.

Language: Английский

Citations

1

XVC scheme-based secret sharing model with hybrid optimization algorithm for visual cryptography DOI
Manoj Kumar, Shashi Shekhar

Signal Image and Video Processing, Journal Year: 2024, Volume and Issue: 18(S1), P. 309 - 323

Published: May 5, 2024

Language: Английский

Citations

0