[HTML][HTML] Machine Learning for Blockchain and IoT Systems in Smart Cities: A Survey
The integration of machine learning (ML), blockchain, and the Internet of Things (IoT) in
smart cities represents a pivotal advancement in urban innovation. This convergence …
smart cities represents a pivotal advancement in urban innovation. This convergence …
Intrusion detection and prevention in fog based IoT environments: A systematic literature review
Abstract Currently, the Internet of Things is spreading in all areas that apply computing
resources. An important ally of the IoT is fog computing. It extends cloud computing and …
resources. An important ally of the IoT is fog computing. It extends cloud computing and …
Blockchain-enabled service optimizations in supply chain digital twin
Digital twin is considered an alternative for optimizing real-world performance within virtual
context, which also applies to the optimization of Supply Chain Management (SCM) …
context, which also applies to the optimization of Supply Chain Management (SCM) …
[HTML][HTML] A metaheuristic-based ensemble feature selection framework for cyber threat detection in IoT-enabled networks
Abstract Internet of Things (IoT) enabled networks are highly vulnerable to cyber threats due
to insecure wireless communication, resource constraint architecture, different types of IoT …
to insecure wireless communication, resource constraint architecture, different types of IoT …
Cyber resilience framework for online retail using explainable deep learning approaches and blockchain-based consensus protocol
Online retail platforms encounter numerous challenges, such as cyber-attacks, data
breaches, device failures, and operational disruptions. These challenges have intensified in …
breaches, device failures, and operational disruptions. These challenges have intensified in …
ADAM: an adaptive DDoS attack mitigation scheme in software-defined cyber-physical system
With the widespread innovation of the Internet of Things, software-defined networking
(SDN), and cloud computing, cyber-physical systems (CPSs) have been developed and …
(SDN), and cloud computing, cyber-physical systems (CPSs) have been developed and …
Intelligent ai-based healthcare cyber security system using multi-source transfer learning method
Cyber-security intelligence have made a great impact over healthcare industry where
several researchers are develo** new techniques to improve security for healthcare …
several researchers are develo** new techniques to improve security for healthcare …
Blockchain systems, technologies, and applications: A methodology perspective
In the past decade, blockchain has shown a promising vision to build trust without any
powerful third party in a secure, decentralized and scalable manner. However, due to the …
powerful third party in a secure, decentralized and scalable manner. However, due to the …
Distributed intelligence for IoT-based smart cities: a survey
The remarkable miniaturization of Internet of Things (IoT)-based systems and the rise of
distributed intelligence are promising research paradigms in the design of smart cities. IoT …
distributed intelligence are promising research paradigms in the design of smart cities. IoT …
Survey and classification of Dos and DDos attack detection and validation approaches for IoT environments
Abstract The Internet of Things (IoT) has emerged over the past ten years as the newest
technology trend that is luring researchers and developers from every sector of industry and …
technology trend that is luring researchers and developers from every sector of industry and …