Prabhat Kumar

Orcid: 0000-0002-0723-0752

Affiliations:
  • 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 57 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
An enhanced Deep-Learning empowered Threat-Hunting Framework for software-defined Internet of Things.
Comput. Secur., 2025

2024
An Automated Threat Intelligence Framework for Vehicle-Road Cooperation Systems.
IEEE Internet Things J., November, 2024

Generative AI and Cognitive Computing-Driven Intrusion Detection System in Industrial CPS.
Cogn. Comput., September, 2024

Secure Data Dissemination Scheme for Digital Twin Empowered Vehicular Networks in Open RAN.
IEEE Trans. Veh. Technol., July, 2024

A Secure and Interpretable AI for Smart Healthcare System: A Case Study on Epilepsy Diagnosis Using EEG Signals.
IEEE J. Biomed. Health Informatics, June, 2024

Guest Editorial of the Special Section on Tactile Internet for Consumer Internet of Things Opportunities and Challenges.
IEEE Trans. Consumer Electron., May, 2024

Explainable AI and Blockchain for Metaverse: A Security and Privacy Perspective.
IEEE Consumer Electron. Mag., May, 2024

Blockchain-Based Authentication and Explainable AI for Securing Consumer IoT Applications.
IEEE Trans. Consumer Electron., February, 2024

Federated Learning-Based Personalized Recommendation Systems: An Overview on Security and Privacy Challenges.
IEEE Trans. Consumer Electron., February, 2024

An Explainable and Resilient Intrusion Detection System for Industry 5.0.
IEEE Trans. Consumer Electron., February, 2024

A dynamic state sharding blockchain architecture for scalable and secure crowdsourcing systems.
J. Netw. Comput. Appl., February, 2024

Blockchain and explainable AI for enhanced decision making in cyber threat detection.
Softw. Pract. Exp., 2024

An Intrusion Detection System for Edge-Envisioned Smart Agriculture in Extreme Environment.
IEEE Internet Things J., 2024

An Intelligent and Explainable SaaS-Based Intrusion Detection System for Resource-Constrained IoMT.
IEEE Internet Things J., 2024

A Deep-Learning-Integrated Blockchain Framework for Securing Industrial IoT.
IEEE Internet Things J., 2024

Digital Twins-enabled Zero Touch Network: A smart contract and explainable AI integrated cybersecurity framework.
Future Gener. Comput. Syst., 2024

Quantum-empowered federated learning and 6G wireless networks for IoT security: Concept, challenges and future directions.
Future Gener. Comput. Syst., 2024

Evolving Topics in Federated Learning: Trends, and Emerging Directions for IS.
CoRR, 2024

Blockchain Based Information Security and Privacy Protection: Challenges and Future Directions using Computational Literature Review.
CoRR, 2024

A federated learning-based zero trust intrusion detection system for Internet of Things.
Ad Hoc Networks, 2024

Evolving Topics in Federated Learning: Trends, and Emerging Directions for IS Research.
Proceedings of the 45th International Conference on Information Systems, 2024

Interpretable Cyber Threat Detection for Enterprise Industrial Networks: A Computational Design Science Approach.
Proceedings of the 45th International Conference on Information Systems, 2024

Securing Agricultural Communications: Blockchain Integration in UAV Networks for Smart Farming.
Proceedings of the IEEE International Conference on Communications Workshops, 2024

An Intelligent and Interpretable Intrusion Detection System for Unmanned Aerial Vehicles.
Proceedings of the IEEE International Conference on Communications, 2024

AI-Based Research Companion (ARC): An Innovative Tool for Fostering Research Activities in Undergraduate Engineering Education.
Proceedings of the IEEE Global Engineering Education Conference, 2024

Fostering Basic Electronics Teaching Competencies: Impact of the School Teachers' Electronics Practicals Upskilling Program (STEP-UP).
Proceedings of the IEEE Global Engineering Education Conference, 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
Fog Intelligence for Secure Smart Villages: Architecture and Future Challenges.
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

Deep-Learning-Based Blockchain for Secure Zero Touch Networks.
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

Healthcare Data Quality Assessment for Cybersecurity Intelligence.
IEEE Trans. Ind. Informatics, 2023

An Intelligent Intrusion Detection System for Smart Consumer Electronics Network.
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

P2SF-IoV: A Privacy-Preservation-Based Secured Framework for Internet of Vehicles.
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

BDEdge: Blockchain and Deep-Learning for Secure Edge-Envisioned Green CAVs.
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

Blockchain-enabled secure communication for unmanned aerial vehicle (UAV) networks.
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


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