With the proliferation of connected devices including smartphones, novel network
connectivity and management methods are needed to meet user Quality of Experience …

There has been significant research in incorporating both blockchain and intrusion detection
to improve data privacy and detect existing and emerging cyberattacks, respectively. In …

We propose a hierarchical blockchain-based platform for ensuring the integrity of smart city
Internet-of-Things (IoT) data and blockchain interoperability in this paper. The well-defined …

The growing number of web services (WSs) and cloud services, which can meet the users'
functional and non-functional requirements, have inspired researchers to provide more …

Modern power systems depend on cyber-physical systems to link physical devices and
control technologies. A major concern in the implementation of smart power networks is to …

In recent years, there has been a surge in the use of deep learning systems for e-healthcare
applications. While these systems can provide significant benefits regarding improved …

By providing ubiquitous connectivity, effective data analytics tools, and better decision
support systems for improved market competitiveness, the industrial internet of things (IIoT) …

Security and trust are seen as the most important issues in electronic voting systems.
Therefore, it is necessary to use cryptographic procedures to ensure anonymity, security …

We present a privacy-preserving framework for Artificial Intelligence (AI) enabled
composition for the edge networks. Edge computing is a very promising technology for …

Machine learning (ML) algorithms can effectively perform analytics and inferences for
building smart applications, such as early detection of diseases in the Industrial Internet of …