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Abstract Federated Learning (FL) has been widely used in Internet of Things (IoT) environments as a promising decentralized framework capable of collaborative model training without exposing local data. Despite its advan...

Aim: This study was conducted to examine the relationship between the ethical values of students enrolled in health programs who are receiving clinical training in a hospital setting and patient privacy. Method: The rese...

Abstract While multi-access edge computing (MEC) enables flexible task offloading, the inherent dynamism and complexity of real-world environments, accompanied by various uncertainties, exacerbate the challenges in offlo...

Abstract Object classification in decentralized environments is critically hindered by data heterogeneity and privacy constraints, which cause models to learn spurious, client-specific correlations rather than generaliza...

Tehran Privacy is home to nearly 16 million people. This privacy has been local until now to attack the land grabbers and the invasion of the poor and even some official organizations in the form of cooperatives that the...

Artificial intelligence (AI) is increasingly integrated into accounting, automating tasks such as data processing, risk assessment and financial reporting. While AI offers efficiency gains, it raises ethical and data pri...

Abstract BackgroundAs Saudi Arabia aims to enhance the adoption and utilization of mobile health (mHealth) apps in the health care sector, it is vital to identify the potential challenges that may be faced in...

People are increasingly reliant on the internet for communication and various devices in their daily lives. The Internet of Things (IoT) has dramatically changed many industries by allowing more automation and easy data ...

The power system event detection process must accelerate and become more precise with increasing penetration of renewable energy systems into the grid. The authors discuss a federated learning LSTM (FL-LSTM) that serves ...

Abstract Smart home networks are a rapidly evolving part of the Internet of Things (IoT), where connected devices exchange information to automate energy use, enhance comfort, and improve user safety. Despite their benef...

Federated Learning (FL) has emerged as a privacy-preserving distributed learning paradigm that enables collaborative model training without sharing raw data. Despite its advantages, ensuring trustworthy FL deployment rem...

The protection of personality and the legal aspects of maintaining professional secrecy have a complicated history of development in many countries of the world. The evolvement of privacy rights and the protection of pro...

Materias / palabras clave: european private law, privacy law, new technologies law, green law, biotechnologies law, computer law; Law: Law in general. Comparative and uniform law. Jurisprudence: Comparative law. International uniform law: Civil la...

Materias / palabras clave: machine learning security, adversarial machine learning, ai security, anonymization and de-identification technologies, cloud computing and security and privacy threats in the cloud, information-theoretic security; Techn...

Materias / palabras clave: privacy, confidentiality, disclosure limitation; Technology; Social Sciences

The further promotion and application of new media technologies present new opportunities for psychiatric specialty hospitals in areas such as health education, doctor-patient communication, service extension, and brand ...

The integration of Artificial Intelligence (AI) in higher education presents both opportunities and ethical challenges. In Malaysia, private universities are adopting AI at a pace that often outshines the development of ...

With the rapid evolution of virtual reality technologies such as digital twins, industrial Internet of Things, edge intelligence, and metaverse, virtual‒reality integration has become a core driving force for the const...

With the known evidence that potential connected vehicle (CV) users are worried about sharing data because of the associated data privacy and security issues, this study investigates the importance of the reputation of t...

Background: The imbalance in nurse-to-patient ratio and shortage of nurses is the main drive for care provision by a nurse of the opposite gender. On the other hand, while nurses must recognise and respect the role of p...

The article is dedicated to a comprehensive analysis of the phenomenon of virtual reality as an innovative sociocultural formation that significantly changes the ways of human existence, perception, communication, and in...

This article provides an in-depth exploration of the phenomenon of surveillance capitalism within the framework of the global digital economy, with particular attention to the Ukrainian context. It examines how personal ...

Abstract Training deep learning models requires substantial financial and human resources, so once deployed in untrusted environments, these models immediately attract the attention of attackers who seek to steal and mis...

Artificial Intelligence (AI) refers to systems designed to perform tasks requiring human-like intelligence, such as learning, reasoning, decision-making, and language processing. Its integration into Human Resource Man...