Artificial Intelligence (AI) solutions have been widely used in healthcare, and recent
developments in deep neural networks have contributed to significant advances in medical …

The healthcare sector, characterized by vast datasets and many diseases, is pivotal in
sha** community health and overall quality of life. Traditional healthcare methods, often …

Privacy is a serious concern related to sharing videos or images among people over the
Internet. As a method to preserve images' privacy, chaos-based image encryption algorithms …

Chaotic-maps-based image encryption methods have been a topic of research interest for a
decade. However, most of the proposed methods suffer from slow encryption time or …

In recent years, there has been an enormous demand for the security of image multimedia in
healthcare organizations. Many schemes have been developed for the security preservation …

Presently, technological advancements in the healthcare sector pose a challenging problem
relevant to the security and privacy of health‐related applications. Medical images can be …

This paper proposes a lightweight image encryption approach for medical Internet of Things
(MIoT) networks using compressive sensing and a modified seven-dimensional (MSD) …

In many cases, images contain sensitive information and patterns that require secure
processing to avoid risk. It can be accessed by unauthorized users who can illegally exploit …

The advancement in technology with high computing power leads to many security attacks.
Thus, the demand for innovative security algorithms is also rising. In the healthcare system …

Chaotic maps that can provide highly secure key sequences and ease of structure
implementation are predominant requirements in image encryption systems. One …