Sudeep Tanwar
Nirma University of Science and Technology
596 Papers
496 Citations
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. Previous affiliations of Sudeep Tanwar include Bharat Institute of Technology & University Institute of Technology, Burdwan University.
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Papers
Online Signature-Based Biometric Recognition
Sudeep Tanwar,Mohammad S. Obaidat,Sudhanshu Tyagi,Neeraj Kumar +3 more
- 01 Jan 2019
TL;DR: This chapter covers the online signature-based biometric recognition system, which includes fingerprint scanning, facial geometry, footprint scanning, retina and iris patterns, DNA, and heartbeat scans, and the background knowledge of signature verification system along with its classification.
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Cognitive radio-based clustering for opportunistic shared spectrum access to enhance lifetime of wireless sensor network
TL;DR: A Distance-Based Multihop Clustering and Routing protocol for heterogeneous environment to improve stability, and network lifetime of WSNs, and the performance of the proposed scheme is evaluated using extensive simulations with respect to network lifetime, and stability.
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Combating Fake News: Stakeholder Interventions and Potential Solutions
Ankur Gupta,Neeraj Kumar,Purnendu Prabhat,Rajesh Gupta,Sudeep Tanwar,Gulshan Sharma,Pitshou Bokoro,Ravi Sharma +7 more
TL;DR: A comprehensive survey on combating fake news and evaluating the challenges involved in its detection with the help of existing detection mechanisms and techniques to control its spread is presented in this article , where the authors consider the fake news combat spectrum to analyze the stakeholder interventions due to the spread of fake news.
DwaRa: A Deep Learning-Based Dynamic Toll Pricing Scheme for Intelligent Transportation Systems
TL;DR: This work proposes a BC-envisioned scheme DwaRa, that operates in three phases, and proposes a novel spatially induced-long-short term memory (SI-LSTM) model to predict current traffic and weather based on historical repositories.
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Deep Learning-Based Malicious Smart Contract and Intrusion Detection System for IoT Environment
Harshit Shah,Dhruvil Shah,Nilesh Jadav,Rajesh Gupta,Sudeep Tanwar,Osama Alfarraj,Amr Tolba,Maria Simona Raboaca,Verdes Marina +8 more
TL;DR: In this article, an artificial intelligence-based system model was proposed to detect the malicious user trying to compromise the IoT environment using a binary classification problem, and the proposed system model is evaluated by considering different assessment measures that comprise the training accuracy, training loss, classification measures (precision, recall, and F1 score), and receiver operating characteristic (ROC) curve.