In this paper, we propose hybrid consensus algorithms that combine machine learning (ML)
techniques to address the challenges and vulnerabilities in blockchain networks …

The influence of blockchain on technology, especially in the field of finance, has brought
about the age of cryptocurrencies and decentralized control, spreading its impact across …

The rise of decentralized social networks (DSNs) necessitates robust trust models to ensure
secure and reliable interactions in an increasingly dynamic online environment. While …

Social network platform facilitates a potential environment in which huge amounts of
information are derived from Social Networks (SNs) for attaining significant social targeting …

This paper addresses the critical challenge of privacy in Online Social Networks (OSNs),
where centralized designs compromise user privacy. We propose a novel privacy …

Vehicular ad-hoc networks (VANET) are crucial for improving road safety and traffic
management in Intelligent Transportation Systems (ITS). However, these networks face …

Online social networks (OSN) that gather diverse interests have attracted a vast user base.
However, centralized online social networks, which house vast amounts of personal data …

This research investigates the enhancement of cloud computing security through adaptive
neural network intrusion detection systems, employing Deep Belief Networks (DBN) and …

This article presents a distinctive framework that utilises blockchain technology to enable
smart contracts, revolutionising the administration of electronic medical health records …

This paper aims to investigate and advance the privacy protection techniques within the e-
commerce domain by leveraging the dilated convolutional network (DCN) model. It …