Integration of blockchain technology and federated learning in vehicular (iot) networks: A comprehensive survey
The Internet of Things (IoT) revitalizes the world with tremendous capabilities and potential
to be utilized in vehicular networks. The Smart Transport Infrastructure (STI) era depends …
to be utilized in vehicular networks. The Smart Transport Infrastructure (STI) era depends …
A Critical Review of Artificial Intelligence Based Approaches in Intrusion Detection: A Comprehensive Analysis
Intrusion detection (ID) is critical in securing computer networks against various malicious
attacks. Recent advancements in machine learning (ML), deep learning (DL), federated …
attacks. Recent advancements in machine learning (ML), deep learning (DL), federated …
Blockchain and federated learning-based intrusion detection approaches for edge-enabled industrial IoT networks: A survey
The industrial internet of things (IIoT) is an evolutionary extension of the traditional Internet of
Things (IoT) into processes and machines for applications in the industrial sector. The IIoT …
Things (IoT) into processes and machines for applications in the industrial sector. The IIoT …
Fidchain: Federated intrusion detection system for blockchain-enabled iot healthcare applications
Recently, there has been considerable growth in the internet of things (IoT)-based
healthcare applications; however, they suffer from a lack of intrusion detection systems …
healthcare applications; however, they suffer from a lack of intrusion detection systems …
Comparative review of the intrusion detection systems based on federated learning: Advantages and open challenges
In order to provide an accurate and timely response to different types of the attacks, intrusion
and anomaly detection systems collect and analyze a lot of data that may include personal …
and anomaly detection systems collect and analyze a lot of data that may include personal …
Intelligent traffic management in next-generation networks
The recent development of smart devices has lead to an explosion in data generation and
heterogeneity. Hence, current networks should evolve to become more intelligent, efficient …
heterogeneity. Hence, current networks should evolve to become more intelligent, efficient …
Network intrusion detection system: a survey on artificial intelligence‐based techniques
High data rate requirements in recent years have resulted in the massive expansion of
communication systems, network size and the amount of data generated and processed …
communication systems, network size and the amount of data generated and processed …
Progressive search personalization and privacy protection using federated learning
Personalized search comes under recommendation systems which provide more user‐
focused query results. Applications such as movie recommendations, document …
focused query results. Applications such as movie recommendations, document …
Utilising blockchain technology and federated learning on the internet of vehicles for the preservation of security and privacy: systematic review
WM Alwash, MA Aydin… - International Journal of …, 2024 - inderscienceonline.com
In the field of the IoV, connected vehicles utilise network connections to improve
transportation efficiency and safety. This will give rise to a range of vulnerabilities …
transportation efficiency and safety. This will give rise to a range of vulnerabilities …
Privacy-preserving in fintech using deep learning with federated learning in cryptocurrency
Recent developments in deep learning techniques have produced significant improvements
in long-standing AI jobs like drug discovery, gene analysis, and speech and image …
in long-standing AI jobs like drug discovery, gene analysis, and speech and image …