G
Govind P. Gupta
Researcher at National Institute of Technology, Raipur
Publications - 58
Citations - 1589
Govind P. Gupta is an academic researcher from National Institute of Technology, Raipur. The author has contributed to research in topics: Wireless sensor network & Energy consumption. The author has an hindex of 13, co-authored 58 publications receiving 591 citations. Previous affiliations of Govind P. Gupta include Indian Institute of Technology Roorkee & Jaypee Institute of Information Technology.
Papers
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Journal ArticleDOI
PPSF: A Privacy-Preserving and Secure Framework Using Blockchain-Based Machine-Learning for IoT-Driven Smart Cities
Prabhat Kumar,Randhir Kumar,Gautam Srivastava,Govind P. Gupta,Rakesh Tripathi,Thippa Reddy Gadekallu,Neal N. Xiong +6 more
TL;DR: Experimental results demonstrate the superiority of the PPSF framework over some recent approaches in blockchain and non-blockchain systems.
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Integrated clustering and routing protocol for wireless sensor networks using Cuckoo and Harmony Search based metaheuristic techniques
Govind P. Gupta,Sonu Jha +1 more
TL;DR: An improved cuckoo search-based energy balanced node clustering protocol which uses a novel objective function for uniform distribution of cluster heads is proposed which shows significant improvement over the state-of-art protocols.
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An ensemble learning and fog-cloud architecture-driven cyber-attack detection framework for IoMT networks
TL;DR: An ensemble learning and fog-cloud architecture-driven cyber-attack detection framework for IoMT networks that can achieve detection rate of 99.98%, accuracy of 96.35%, and can reduce false alarm rate upto 5.59% is proposed.
Journal ArticleDOI
SP2F: A secured privacy-preserving framework for smart agricultural Unmanned Aerial Vehicles
Randhir Kumar,Prabhat Kumar,Rakesh Tripathi,Govind P. Gupta,Thippa Reddy Gadekallu,Gautam Srivastava,Gautam Srivastava +6 more
TL;DR: A Secured Privacy-Preserving Framework for smart agricultural UAVs is proposed and it is identified that the SP2F framework outperforms several state-of-the-art techniques in both non-blockchain and blockchain frameworks.
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A Framework for Fast and Efficient Cyber Security Network Intrusion Detection Using Apache Spark
Govind P. Gupta,Manish Kulariya +1 more
TL;DR: This paper has proposed a framework in which first a well-known feature selection algorithm is employed for selecting the most important features and then classification based intrusion detection method is used for fast and efficient detection of intrusion in the massive network traffic.