.png){kind=icon}
返回
Deep learning and chaotic system based image encryption algorithm for secondary user system
.png){kind=icon}
PRE
AI
DOI：10.1007/s11071-024-10143-7.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper proposes an innovative image encryption algorithm designed for the secondary user system, aiming to break through the single privilege restriction of traditional encryption methods and significantly improve the protection of image data in highly sensitive fields such as military defence and medical health. By introducing hierarchical access control, the algorithm ensures that users with different privileges can only access image information within the authorized range, realizing refined and hierarchical security protection. Meanwhile, the innovative fusion of Tent map and Logistic map constructs a complex and unpredictable delayed perturbation model, which dramatically improves the complexity and randomness of chaotic behaviors and enhances the algorithm security. In addition, the algorithm is highly flexible and can effectively adapt to irregular image structures, ensuring that the encryption process is both efficient and secure. Experimental validation shows that the algorithm performs well in preventing unauthorized access and provides solid security for the storage and transmission of sensitive image information.
Keyword:
Chaotic systems
Image encryption
Deep learning
Two-level user system
期刊
IF:
6
论文数:
1.4W
被引数:
4.1W
机构
引用论文
Comparative study of layer by layer assembled multilayer films based on graphene oxide and reduced graphene oxide on flexible polyurethane foam: flame retardant and smoke suppression properties.png)
RSC Advances
RSC AdvancesIF0
PREAI
分享收藏Distant regulatory elements in a Sox10‐βGEO BAC transgene are required for expression of Sox10 in the enteric nervous system and other neural crest‐derived tissuesSox10-βgeo BAC转基因中的远距离调控元件是肠神经系统和其他神经源性组织中 Sox10 表达所必需的
OAAI
OAAI分享收藏
查看更多内容