S
Sudeep Tanwar
Researcher at Nirma University of Science and Technology
Publications - 410
Citations - 11253
Sudeep Tanwar is an academic researcher from Nirma University of Science and Technology. The author has contributed to research in topics: Computer science & Smart grid. The author has an hindex of 43, co-authored 263 publications receiving 5402 citations. Previous affiliations of Sudeep Tanwar include Bharat Institute of Technology & University Institute of Technology, Burdwan University.
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Proceedings ArticleDOI
ArMor: A Data Analytics Scheme to identify malicious behaviors on Blockchain-based Smart Grid System
Aparna Kumari,Mohil Maheshkumar Patel,Arpit Shukla,Sudeep Tanwar,Neeraj Kumar,Joel J. P. C. Rodrigues +5 more
TL;DR: In this paper, the authors proposed a data analytics scheme ArMor for malicious activity detection on the blockchain (BC)-based smart grid system, which detects data integrity issues in real-time like false data injection attack and smart meter failure.
Journal ArticleDOI
MB-MaaS: Mobile Blockchain-based Mining-as-a-Service for IIoT environments
TL;DR: In this paper , a mobile blockchain based mining-as-a-service (MaaS) scheme is proposed for resource-constrained industrial internet-of-things (IIoT) environments.
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An Energy Efficient Scheme for WPCN-NOMA Based Device-to-Device Communication
TL;DR: Simulation results demonstrate that by maximizing the EE and optimizing the time and transmission power of D2D groups, the energy efficiency of the network can be significantly improved in comparison to the other competitive schemes in the existing literature.
Journal ArticleDOI
A Comprehensive Review of the Technological Solutions to Analyse the Effects of Pandemic Outbreak on Human Lives
TL;DR: An up-to-date analysis on the use of blockchain technology, AI, AR/VR, and IoT for combating COVID-19 pandemic considering various applications provides new emerging initiatives and use cases to deal with the pandemic.
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SDN-Enabled Adaptive Broadcast Timer for Data Dissemination in Vehicular Ad Hoc Networks
TL;DR: In this article, the authors proposed an adaptive broadcast interval for data dissemination for an infrastructure-to-vehicle (I2V) environment, where roadside units (RSUs) disseminate the data to the vehicles after a specified broadcast time interval.