Mobile-edge computing (MEC) has been envisioned as a promising paradigm to handle the
massive volume of data generated from ubiquitous mobile devices for enabling intelligent …

Security and forensics represent two key components for network management, especially
to guarantee the trusted operation of massive access networks such as the Internet of Things …

In this article, we present a comprehensive study with an experimental analysis of federated
deep learning approaches for cyber security in the Internet of Things (IoT) applications …

Network trustworthiness is considered a very crucial element in network security and is
developed through positive experiences, guarantees, clarity, and responsibility …

Blockchain, a distributed ledger technology (DLT), refers to a list of records with consecutive
time stamps. This decentralization technology has become a powerful model to establish …

There has been increased interest in applying artificial intelligence (AI) in various settings to
inform decision‐making and facilitate predictive analytics. In recent times, there have also …

With the rapid growth of edge-assisted solutions in Internet of Things (IoT) networks,
connected healthcare progressively relies on such solutions. This refers to systems in which …

针对边缘计算的数据隐私性, 计算结果正确性和数据处理过程可审计性等需求,
提出了一种基于区块链和联邦学习的边缘计算隐私保护方法, 不需要可信环境和特殊硬件设施即 …

With the advance in artificial intelligence and high-dimensional data analysis, federated
learning (FL) has emerged to allow distributed data providers to collaboratively learn without …

Aiming at the needs of edge computing for data privacy, the correctness of calculation
results and the auditability of data processing, a privacy protection method for edge …