[HTML][HTML] Integration of blockchain technology and federated learning in vehicular (iot) networks: A comprehensive survey

AR Javed, MA Hassan, F Shahzad, W Ahmed, S Singh… - Sensors, 2022 - mdpi.com
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 …

[HTML][HTML] Intelligent traffic management in next-generation networks

O Aouedi, K Piamrat, B Parrein - Future internet, 2022 - mdpi.com
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 …

[HTML][HTML] FIDChain: Federated intrusion detection system for blockchain-enabled IoT healthcare applications

E Ashraf, NFF Areed, H Salem, EH Abdelhay, A Farouk - Healthcare, 2022 - mdpi.com
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 …

[HTML][HTML] Comparative review of the intrusion detection systems based on federated learning: Advantages and open challenges

E Fedorchenko, E Novikova, A Shulepov - Algorithms, 2022 - mdpi.com
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 …

Network intrusion detection system: a survey on artificial intelligence‐based techniques

MS Habeeb, TR Babu - Expert Systems, 2022 - Wiley Online Library
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 …

Privacy-preserving in fintech using deep learning with federated learning in cryptocurrency

S Sharma, B Kotaiah, S Singh, KVD Sagar… - Journal of …, 2022 - pnrjournal.com
Recent developments in deep learning techniques have produced significant improvements
in long-standing AI jobs like drug discovery, gene analysis, and speech and image …