In the growing diversified software applications, cybersecurity plays a vital role in preserving
and avoiding the loss of data in terms of money, knowledge, and assets of businesses and …

Under the times of the Industrial Internet of Things, the traditional centralized machine
learning management method cannot deal with such huge data streams, and the problem of …

Billions of IoT devices are connected to networks all around us, enabling cyber-physical
systems. These devices can carry and generate user-sensitive data, examples of such …

The development of the Internet of Things (IoT), Big Data, and deep learning technologies
has brought convenience to people's lives. As personal privacy data protection laws and …

In this era of explosive growth in technology, the internet of things (IoT) has become the
game changer when we consider technologies like smart homes and cities, smart energy …

With the advance of Bitcoin technology, money laundering has been incentivised as a den of
Bitcoin blockchain, in which the user's identity is hidden behind a pseudonym known as …

Today, the best progress in data innovation is likely to be distributed computing. It presents
many pleasant mechanical and financial advantages in the new world. There is no …

The development of the Internet of Things (IoT) in multiple sectors has led to substantial
security issues due to its decentralized structure and resource limits. To solve these …

This article proposes a blockchain-based federated learning (FL) framework with Intel
Software Guard Extension (SGX)-based trusted execution environment (TEE) to securely …

When digital evidence is presented in front of a court of law, it is seldom associated with a
scientific evaluation of its relevance, or significance. When experts are challenged about the …