Prabhat Kumar
Orcid: 0000-0002-0723-0752Affiliations:
- LUT University, LUT School of Engineering Science, Department of Software Engineering, Lappeenranta, Finland
- National Institute of Technology Raipur, Department of Information Technology, India
According to our database1,
Prabhat Kumar
authored at least 34 papers
between 2021 and 2024.
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Bibliography
2024
IEEE Consumer Electron. Mag., May, 2024
A dynamic state sharding blockchain architecture for scalable and secure crowdsourcing systems.
J. Netw. Comput. Appl., February, 2024
IEEE Internet Things J., 2024
Enhanced Supply Chain Management in Indian Agriculture Using SSI and Blockchain Leveraged by Digital Wallet.
Proceedings of the 16th International Conference on COMmunication Systems & NETworkS, 2024
2023
IEEE Consumer Electron. Mag., September, 2023
DLTIF: Deep Learning-Driven Cyber Threat Intelligence Modeling and Identification Framework in IoT-Enabled Maritime Transportation Systems.
IEEE Trans. Intell. Transp. Syst., February, 2023
A blockchain-orchestrated deep learning approach for secure data transmission in IoT-enabled healthcare system.
J. Parallel Distributed Comput., February, 2023
IEEE Commun. Mag., February, 2023
Blockchain and Deep Learning for Secure Communication in Digital Twin Empowered Industrial IoT Network.
IEEE Trans. Netw. Sci. Eng., 2023
IEEE Trans. Ind. Informatics, 2023
IEEE Trans. Consumer Electron., 2023
Distributed AI and Blockchain for 6G-Assisted Terrestrial and Non-Terrestrial Networks: Challenges and Future Directions.
IEEE Netw., 2023
Deep Learning and Smart Contract-Assisted Secure Data Sharing for IoT-Based Intelligent Agriculture.
IEEE Intell. Syst., 2023
An Integrated Framework for Enhancing Security and Privacy in IoT-Based Business Intelligence Applications.
Proceedings of the IEEE International Conference on Consumer Electronics, 2023
2022
A Privacy-Preserving-Based Secure Framework Using Blockchain-Enabled Deep-Learning in Cooperative Intelligent Transport System.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Intell. Transp. Syst., 2022
Permissioned Blockchain and Deep Learning for Secure and Efficient Data Sharing in Industrial Healthcare Systems.
IEEE Trans. Ind. Informatics, 2022
P2TIF: A Blockchain and Deep Learning Framework for Privacy-Preserved Threat Intelligence in Industrial IoT.
IEEE Trans. Ind. Informatics, 2022
IEEE Trans. Green Commun. Netw., 2022
PEFL: Deep Privacy-Encoding-Based Federated Learning Framework for Smart Agriculture.
IEEE Micro, 2022
A distributed intrusion detection system to detect DDoS attacks in blockchain-enabled IoT network.
J. Parallel Distributed Comput., 2022
BDTwin: An Integrated Framework for Enhancing Security and Privacy in Cybertwin-Driven Automotive Industrial Internet of Things.
IEEE Internet Things J., 2022
Proceedings of the 5th International ACM Mobicom Workshop on Drone Assisted Wireless Communications for 5G and Beyond, 2022
Blockchain and Deep Learning for Cyber Threat-Hunting in Software-Defined Industrial IoT.
Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022
Blockchain and Deep Learning Empowered Secure Data Sharing Framework for Softwarized UAVs.
Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022
A Secure Data Dissemination Scheme for IoT-Based e-Health Systems using AI and Blockchain.
Proceedings of the IEEE Global Communications Conference, 2022
2021
PPSF: A Privacy-Preserving and Secure Framework Using Blockchain-Based Machine-Learning for IoT-Driven Smart Cities.
IEEE Trans. Netw. Sci. Eng., 2021
TP2SF: A Trustworthy Privacy-Preserving Secured Framework for sustainable smart cities by leveraging blockchain and machine learning.
J. Syst. Archit., 2021
A distributed ensemble design based intrusion detection system using fog computing to protect the internet of things networks.
J. Ambient Intell. Humaniz. Comput., 2021
A Distributed framework for detecting DDoS attacks in smart contract-based Blockchain-IoT Systems by leveraging Fog computing.
Trans. Emerg. Telecommun. Technol., 2021
An ensemble learning and fog-cloud architecture-driven cyber-attack detection framework for IoMT networks.
Comput. Commun., 2021
SP2F: A secured privacy-preserving framework for smart agricultural Unmanned Aerial Vehicles.
Comput. Networks, 2021
Design of Anomaly-Based Intrusion Detection System Using Fog Computing for IoT Network.
Autom. Control. Comput. Sci., 2021
P2IDF: A Privacy-Preserving based Intrusion Detection Framework for Software Defined Internet of Things-Fog (SDIoT-Fog).
Proceedings of the ICDCN '21: International Conference on Distributed Computing and Networking, 2021