
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: July 30, 2024
Language: Английский
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: July 30, 2024
Language: Английский
Communications in computer and information science, Journal Year: 2025, Volume and Issue: unknown, P. 262 - 273
Published: Jan. 1, 2025
Language: Английский
Citations
0Electronics, Journal Year: 2024, Volume and Issue: 13(13), P. 2463 - 2463
Published: June 24, 2024
The advancement of information technology has led to the widespread application remote measurement systems, where in form images or videos, serving as results, is transmitted over networks. However, this transmission highly susceptible attacks, tampering, and disputes, posing significant risks trustworthy results from instruments devices. In recent years, many encryption algorithms proposed for have focused on encrypting entire image, resulting resource waste. Additionally, most are designed only single-object-type images. Addressing these issues, paper proposes a multi-object region algorithm based an adaptive mechanism. Firstly, mechanism employed determine strategy adjusting sampling rate objects, achieved through allocation algorithm. Secondly, improved polygon segmentation utilized separate single-object regions images, dynamically sequence objects Finally, using chaos fusion XOR Experimental validation instrument demonstrates that offers high efficiency security advantages compared other mainstream image algorithms.
Language: Английский
Citations
1Electronics, Journal Year: 2024, Volume and Issue: 13(13), P. 2647 - 2647
Published: July 5, 2024
To address the consumption and security of color images for transmission storage, a cross-channel image encryption scheme based on discrete memristive coupled neuron model DWT compression is designed in this article. Firstly, dynamics system are analyzed found to possess hyperchaotic phenomenon, which provides sufficient scheme. Secondly, processed by wavelet transform (DWT) has quarter previous capacity. Then, combined with Hash function, resulting sequence given initial value system. Next, particle swarm foraging algorithm (PSFA) better disrupt correlation RGB channel. Finally, complementary DNA coding rule implemented further images. Simulation results show that even lossy compression, recovered can be clearly seen. The performance analysis illustrates under system, proposed brings higher
Language: Английский
Citations
1Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: April 1, 2024
Abstract The recent surge in interest within the scientific community towards spatiotemporal chaos underscores its potential for bolstering secure communications and cryptographic mechanisms. This research presents a cutting-edge methodology to amplify exhibited by conventional cross-coupled image lattices through adoption of chaotic coupling coefficients. By innovatively adjusting structure these incorporate coefficients, we markedly enhance their dynamics across temporal spatial dimensions. advancement facilitates creation hash function characterized substantial security enhancements. Rigorous experimental validation attests security, highlighting coefficients' pivotal role augmenting function's defenses against various attacks. investigation not only introduces revolutionary alteration framework but also unveils pragmatic application, demonstrating significant systems sphere cryptography. Our findings suggest that integrating coefficients into represents fertile ground crafting sophisticated instruments, thereby paving new pathways realm digital communications.
Language: Английский
Citations
0Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 187, P. 115433 - 115433
Published: Sept. 1, 2024
Language: Английский
Citations
0Published: Dec. 11, 2024
With the deepening application of Marketing 2.0 and Smart Brain, problem not being able to find, read, use data has been difficulty pain point plaguing business people carry out analysis independently. Therefore, this paper proposes a distributed encrypted storage large-scale atomic for cloud computing. In-depth study smallest computing factor with free combination assembling ability, i.e., management system, realize efficient safe in environment. At same time, system is directed by requirements, aiming at consolidating basic base marketing intelligent brain, empowering grass-roots business, lowering threshold level, improving ability risk identification, creating good atmosphere independent analysis, helping cultivate digital team, promoting transformation marketing. The research results show that method oriented can effectively respond challenges huge volume, high access frequency, security requirements
Language: Английский
Citations
0Published: Jan. 1, 2024
Language: Английский
Citations
0Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: March 13, 2024
Abstract The recent surge in interest within the scientific community towards spatiotemporal chaos underscores its potential for bolstering secure communications and cryptographic mechanisms. This research presents a cutting-edge methodology to amplify exhibited by conventional cross-coupled image lattices through adoption of chaotic coupling coefficients. By innovatively adjusting structure these incorporate coefficients, we markedly enhance their dynamics across temporal spatial dimensions. advancement facilitates creation hash function characterized substantial security enhancements. Rigorous experimental validation attests security, highlighting coefficients' pivotal role augmenting function's defenses against various attacks. investigation not only introduces revolutionary alteration framework but also unveils pragmatic application, demonstrating significant systems sphere cryptography. Our findings suggest that integrating coefficients into represents fertile ground crafting sophisticated instruments, thereby paving new pathways realm digital communications.
Language: Английский
Citations
0Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: July 30, 2024
Language: Английский
Citations
0