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16 results on '"Deepak Kumar Sharma"'

3. A Means of Futuristic Communication: A Review

Author

Deepak Kumar Sharma and Deepika Kukreja Vivek

Subjects
Blockchain, business.industry, Computer science, Genetic algorithm, business, Internet of Things, Computer network
Published
2021

4. Fog and Edge Driven Security & Privacy Issues in IoT Devices

Author

Pragun Mangla, Deepak Kumar Sharma, and Aarti Goel

Subjects
Authentication, Security privacy, business.industry, Computer science, Fog computing, Access control, Enhanced Data Rates for GSM Evolution, Internet of Things, business, Computer security, computer.software_genre, computer, Edge computing
Published
2020

5. Transfer Learning

Author

Riyanshi Gupta, Kartik Krishna Bhardwaj, and Deepak Kumar Sharma

Published
2020

6. Semi‐Supervised Learning

Author

Gaurav Malik, Deepak Kumar Sharma, and Manish Devgan

Subjects
symbols.namesake, business.industry, Computer science, symbols, Artificial intelligence, Semi-supervised learning, Baum–Welch algorithm, Machine learning, computer.software_genre, business, computer, Self training
Published
2020

7. Intelligent Data Analysis

Author

Deepak Kumar Sharma, Siddhant Bagga, and Sarthak Gupta

Subjects
Computer science, business.industry, Artificial intelligence, business, Machine learning, computer.software_genre, computer, Visualization, Interpretability
Published
2020

8. Statistical Methods for Intelligent Data Analysis

Author

Shubham Kumaram, Deepak Kumar Sharma, and Samarth Chugh

Subjects
Computer science, Nonlinear model, Principal component analysis, Linear model, Statistical inference, Data mining, computer.software_genre, Random effects model, computer, Statistical hypothesis testing
Published
2020

10. <scp>LEOBAT</scp> : Lightweight encryption and <scp>OTP</scp> based authentication technique for securing <scp>IoT</scp> networks

Author

Koyel Datta Gupta, Aarti Goel, and Deepak Kumar Sharma

Subjects
Authentication, business.industry, Computer science, Cloud computing, Computer security, computer.software_genre, Encryption, Theoretical Computer Science, Computational Theory and Mathematics, Artificial Intelligence, Control and Systems Engineering, business, Internet of Things, computer
Published
2021

12. Enabling security for the Industrial Internet of Things using deep learning, blockchain, and coalitions

Author

Koyel Datta Gupta, Deepak Kumar Sharma, Shrid Pant, Vidushi Vashishth, Mehul Sharma, and Anshuman Chhabra

Subjects
Blockchain, business.industry, Computer science, Deep learning, Industrial Internet, Wireless, Artificial intelligence, Electrical and Electronic Engineering, business, Computer security, computer.software_genre, computer
Abstract

In a wireless Industrial Internet of Things (IIoT) network, enforcing security is a challenge due to the large number of devices forming the network and their limited computation capabilit...

Published
2020

14. Poisson's probability-based Q-Routing techniques for message forwarding in opportunistic networks

Author

Deepak Kumar Sharma, Deepika Kukreja, Ayushee Sachan, Manpreet Kaur, and Pranav Aggarwal

Subjects
Computer Networks and Communications, business.industry, Computer science, 020206 networking & telecommunications, 02 engineering and technology, Poisson distribution, symbols.namesake, Message forwarding, 0202 electrical engineering, electronic engineering, information engineering, symbols, 020201 artificial intelligence & image processing, Electrical and Electronic Engineering, Routing (electronic design automation), business, Computer network
Published
2018

15. A fuzzy logic and game theory based adaptive approach for securing opportunistic networks against black hole attacks

Author

Anshuman Chhabra, Deepak Kumar Sharma, and Vidushi Vashishth

Subjects
Computer Networks and Communications, Computer science, business.industry, Evolutionary game theory, 020206 networking & telecommunications, 02 engineering and technology, Fuzzy logic, Black hole, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, Electrical and Electronic Engineering, business, Game theory
Published
2017

16. An energy-efficient history-based routing scheme for opportunistic networks

Author

Deepak Kumar Sharma, Isaac Woungang, Sanjay Kumar Dhurandher, and Aakanksha Saini

Subjects
Routing protocol, 020203 distributed computing, Computer Networks and Communications, Computer science, business.industry, Network packet, 020206 networking & telecommunications, 02 engineering and technology, Energy consumption, Reduction (complexity), 0202 electrical engineering, electronic engineering, information engineering, Bandwidth (computing), Overhead (computing), Electrical and Electronic Engineering, Routing (electronic design automation), business, Efficient energy use, Computer network
Abstract

Summary In opportunistic networks (Oppnets), nodes rely on contact opportunities between them to exchange information with each other. Routing and forwarding in Oppnets remains a challenging task because of the limited energy and bandwidth constraints. Various routing protocols for Oppnets have been proposed in the literature, but only few of them have explicitly investigated the energy issue. In this paper, some improvements in the already existing history-based prediction for routing protocol for infrastructure-less Oppnets (so-called HBPR) is suggested so as to make it energy efficient. The proposed energy-efficient HBPR protocol (EHBPR) addresses the energy constraints in HBPR and reduces the number of packets transferred in the network, which in turn results to a reduction in the nodes' energy consumption. Through simulations, the performance of EHBPR in terms of energy consumption is compared against the HBPR and the energy-efficient n-epidemic routing protocol. The results show that (1) EHBPR consumes 14.66% less energy than HBPR (respectively 13.14% less energy than n-epidemic); (2) EHBPR generates 67.4% less dead nodes compared with HBPR (resp. 66.33% less dead nodes compared to n-epidemic); and (3) EHBPR yields 77.86% less overhead ratio compared with HBPR (resp. 84.49% less overhead ratio compared with n-epidemic). Copyright © 2015 John Wiley & Sons, Ltd.

Published
2015

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