Image encryption is a critical component of modern data security, ensuring the
confidentiality, integrity, and privacy of sensitive visual content. In this paper, we present a …

Electronic health records (EHRs) security is a critical challenge in the implementation and
administration of Internet of Medical Things (IoMT) systems within the healthcare sector's …

Neural networks are favored by academia and industry because of their diversity of
dynamics. However, it is difficult for ring neural networks to generate complex dynamical …

In order to safely and covertly protect the digital image information during public channel
transmission and localized storage, a stable image visually secure encryption algorithm by …

To balance the privacy and usability of images in the cloud, Tajik et al. recently designed a
thumbnail preserving encryption (TPE) based on sum-preserving encryption, however …

The fractional-order functions show better performance than their corresponding integer-
order functions in various image processing applications. In this paper, the authors propose …

Many researchers have devoted themselves to studying image encryption based on chaotic
system and have made significant strides in research in recent decades. This paper first …

Federated learning (FL) has attracted increasing attention to building models without
accessing raw user data, especially in healthcare. In real applications, different federations …

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 …

A novel image encryption algorithm based on deep neural network (DNN) is proposed. First,
a new encryption unit with the deep neural network (EDNN) is designed. The EDNN is a …