Nature‐inspired algorithms revolve around the intersection of nature‐inspired algorithms
and the IoT within the healthcare domain. This domain addresses the emerging trends and …

The development of cloud, fog, and edge computing has led to great advances in reducing
latency and saving bandwidth, and these methods have therefore been broadly applied in …

In recent years, the proliferation of deep learning (DL) techniques has given rise to a
significant challenge in the form of deepfake videos, posing a grave threat to the authenticity …

Cloud computing eliminates the need for local hardware, addressing the challenge of high
computing expenses. However, entrusting data to the cloud may pose the risk of …

Deep learning-driven side-channel analysis (SCA) is a promising approach to side-channel
analytic profiling. Recent studies have shown that neural networks can successfully attack …

Computer networks face vulnerability to numerous attacks, which pose significant threats to
our data security and the freedom of communication. This paper introduces a novel intrusion …

Data management services provided by the public cloud can economize the enterprise's
local storage costs, and meanwhile, realize data sharing among the enterprise. Corporate …

The number of cloud-, edge-, and Internet of Things (IoT)-based applications that produce
sensitive and personal data has rapidly increased in recent years. The IoT is a new model …

Asymmetric Searchable Encryption (ASE) is a promising cryptographic mechanism that
enables a semi-trusted cloud server to perform keyword searches over encrypted data for …

Voting aims to provide the best decision or select the most selected option for the largest
group of voters. Malicious parties gaining access, and otherwise tampering with election …