R
Rahul Saha
Researcher at Lovely Professional University
Publications - 65
Citations - 841
Rahul Saha is an academic researcher from Lovely Professional University. The author has contributed to research in topics: Computer science & Wireless sensor network. The author has an hindex of 11, co-authored 47 publications receiving 365 citations. Previous affiliations of Rahul Saha include University of Padua.
Papers
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Proof-of-Work Consensus Approach in Blockchain Technology for Cloud and Fog Computing Using Maximization-Factorization Statistics
TL;DR: An efficient statistical method with proof-of-work consensus approach for cloud and fog computing with advantage of less iteration to converge to the consensus solution and easiness to configure the complete mathematical model as per the requirement.
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Privacy Ensured ${e}$ -Healthcare for Fog-Enhanced IoT Based Applications
TL;DR: The present work is about an e-healthcare framework dealing with electronic medical records (EMRs) which preserves the privacy issues and is efficient in providing privacy along with standard network parameters.
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A Novel Trust Evaluation Process for Secure Localization Using a Decentralized Blockchain in Wireless Sensor Networks
Tai-hoon Kim,Rekha Goyat,Mritunjay Kumar Rai,Gulshan Kumar,William J Buchanan,Rahul Saha,Reji Thomas +6 more
TL;DR: A blockchain-based trust management model is proposed to enhance trust relationship among beacon nodes and to eradicate malicious nodes in Wireless Sensor Networks (WSNs) by discarding the beacon node with least trust value.
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Decentralized accessibility of e-commerce products through blockchain technology
Gulshan Kumar,Rahul Saha,William J Buchanan,G. Geetha,Reji Thomas,Mritunjay Kumar Rai,Tai-hoon Kim,Mamoun Alazab +7 more
TL;DR: The presented solution, named as 'PRODCHAIN', is a generic blockchain framework with lattice-based cryptographic processes for reducing the complexity for tracing the e-commerce products and introduces a rating based consensus process called Proof of Accomplishment (PoA).
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A Privacy-Preserving Secure Framework for Electric Vehicles in IoT Using Matching Market and Signcryption
Gulshan Kumar,Rahul Saha,Mritunjay Kumar Rai,William J Buchanan,Reji Thomas,G. Geetha,Tai Hoon-Kim,Joel J. P. C. Rodrigues +7 more
TL;DR: The presented framework is efficient in terms of computation and communication cost, satisfaction ratio, slot ratio, charging latency and load balancing index, and the performance metrics are compared with recent developments in this field.