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Chandrashekhar Meshram
Researcher at Government Post Graduate College
Publications - 51
Citations - 513
Chandrashekhar Meshram is an academic researcher from Government Post Graduate College. The author has contributed to research in topics: Key (cryptography) & Random oracle. The author has an hindex of 9, co-authored 51 publications receiving 207 citations. Previous affiliations of Chandrashekhar Meshram include Barkatullah University & Rani Durgavati University.
Papers
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Journal ArticleDOI
Application of Artificial Neural Networks, Support Vector Machine and Multiple Model-ANN to Sediment Yield Prediction
Sarita Gajbhiye Meshram,Vijay P. Singh,Ozgur Kisi,Ozgur Kisi,Vahid Karimi,Chandrashekhar Meshram +5 more
TL;DR: The main aim of the present work is to develop four machine learning models, artificial neural networks (ANNs), radial basis function (RBF), support vector machine (SVM) and multiple model (MM)-ANNs for forecasting daily sediment yield.
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Fractional chaotic maps based short signature scheme under human-centered IoT environments.
Chandrashekhar Meshram,Rabha W. Ibrahim,Ahmed J. Obaid,Sarita Gajbhiye Meshram,Akshaykumar Meshram,A. M. Abd El-latif,A. M. Abd El-latif +6 more
TL;DR: In this paper, the authors proposed a short signature scheme using fractional chaotic maps (FCM) for secure communication in IoT-based smart devices, the security of which is closely related to a random oracle based on FCM assumption.
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Iterative classifier optimizer-based pace regression and random forest hybrid models for suspended sediment load prediction.
TL;DR: Novel integrative intelligence models coupled with iterative classifier optimizer (ICO) algorithm are proposed to compute suspended sediment load in Simga station in Seonath river basin, Chhattisgarh State, India and are found to be more precise than their stand-alone counterparts of RF and PR.
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Multicriteria Decision Making Taxonomy of Cloud-Based Global Software Development Motivators
Muhammad Azeem Akbar,Hussain AlSalman,Arif Ali Khan,Sajjad Mahmood,Chandrashekhar Meshram,Abdu Gumaei,Muhammad Tanveer Riaz +6 more
TL;DR: The findings of the study provide the prioritization-based taxonomy of the investigated motivators that assists the software organizations to develop and revise their strategies for the successful implementation of CGSD.
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An identity-based encryption technique using subtree for fuzzy user data sharing under cloud computing environment
Chandrashekhar Meshram,Cheng-Chi Lee,Cheng-Chi Lee,Sarita Gajbhiye Meshram,Muhammad Khurram Khan +4 more
TL;DR: A forward-secure identity-based encryption technique based on subtree for fuzzy user data sharing under cloud computing environment is proposed and it is demonstrated that the technique is semantically secure against a chosen subtree and chosen ciphertext attack (IND-CST–CCA).