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Advances in Data Sciences, Security and Applications

Proceedings of ICDSSA 2019

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Vanita Jain

    1. Bharati Vidyapeeth’s College of Engineering, New Delhi, India

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  2. Gopal Chaudhary

    1. Bharati Vidyapeeth’s College of Engineering, New Delhi, India

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  3. M. Cengiz Taplamacioglu

    1. Gazi University, Ankara, Turkey

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  4. M. S. Agarwal

    1. Indian Institute of Technology Mumbai, Mumbai, India

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Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 612)

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Table of contents (38 papers)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Classification and Analysis of Real-World Earthquake Data Using Various Machine Learning Algorithms

    • Manka Vasti, Amita Dev
    Pages 1-14

  3. Crime Data Set Analysis Using Formal Concept Analysis (FCA): A Survey

    • Prerna Kapoor, Prem Kumar Singh, Aswani Kumar Cherukuri
    Pages 15-31

  4. Analyzing the Patterns of Delhi’s Air Pollution

    • Shally Sharma, Sandeep Mathur
    Pages 33-44

  5. Predictive Analysis of NARX, NLIO, and RNN Networks for Short-Term Wind Power Forecasting

    • Tushar Srivastava, M. M. Tripathi
    Pages 45-62

  6. Training Data on Recursive Parallel Processors for Deep Learning

    • Shipra Raheja, Rajiv Chopra
    Pages 63-71

  7. Advanced Anti-theft and Accident Alert System for Two-Wheelers Using Location-Based Services

    • Aditya Arora, Ekagrata Sharma, Manasi Dogra, Neha Paggowal, Jolly Parikh
    Pages 73-83

  8. A Data Analytics Framework for Decision-Making in Agriculture

    • Sudha Shankar, Madhuri Rao, Prajwala Shetty, Jui Thombre, Harshita Manek
    Pages 85-98

  9. Design Flaws and Cryptanalysis of a Standard Mutual Authentication Protocol for Cloud Computing-Based Healthcare System

    • Adesh Kumari, M. Yahya Abbasi, Vinod Kumar, Mansaf Alam
    Pages 99-109

  10. Cognitive Radio Based Environmental Health Monitoring and Regulation System for Toxic Gases

    • Deependra Pandey
    Pages 111-121

  11. How to Help Johnny to Travel in a Brimming Train?

    • Vanita Jain, Gopal Chaudhary, Nalin Luthra, Akshit Rao, Harman Jolly
    Pages 123-132

  12. Soft Computing Paradigms Based Clustering in Wireless Sensor Networks: A Survey

    • Richa Sharma, Vasudha Vashisht, Umang Singh
    Pages 133-159

  13. ANN Model for Liver Disorder Detection

    • Shubham Dhingra, Ishaan Singh, R. Subburaj, Shalini Diwakar
    Pages 161-167

  14. Design Flaws and Cryptanalysis of Elliptic Curve Cryptography-Based Lightweight Authentication Scheme for Smart Grid Communication

    • Vinod Kumar, Akber Ali Khan, Musheer Ahmad
    Pages 169-179

  15. Distributed Authentication Security for IOT Using DASS and LOKI91

    • Santosh Kumar Sharma, Bonomali Khuntia
    Pages 181-196

  16. Macro Factors Affecting Cloud Computing Readiness: A Cross-Country Analysis

    • Samit Tripathy, Amalendu Jyotishi
    Pages 197-209

  17. Controller Area Network for Battlefield-of-Things

    • S. Sundeep Desai, Vincent Varghese, Manisha J. Nene
    Pages 211-223

  18. An Experimental Approach to Unravel Effects of Malware on System Network Interface

    • Sikiru Olanrewaju Subairu, John Alhassan, Sanjay Misra, Olusola Abayomi-Alli, Ravin Ahuja, Robertas Damasevicius et al.
    Pages 225-235

  19. Smart Ticketing for Academic Campus Shuttle Transportation System Based on RFID

    • Olusola Abayomi-Alli, Modupe Odusami, Richard Chima, Sanjay Misra, Ravin Ahuja, Robertas Damasevicius et al.
    Pages 237-252

  20. Design of Big Data Privacy Framework—A Balancing Act

    • P. Geetha, Chandrakant Naikodi, Suresh Lakshmi Narasimha Setty
    Pages 253-265
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Keywords

About this book

This book gathers the best papers presented at the International Conference on Data Sciences, Security and Applications (ICDSSA 2019), organized by Bharati Vidyapeeth’s College of Engineering, New Delhi, India, on 7–8 March 2019. The respective contributions present original research work, essential information, techniques and applications in the fields of data mining, artificial intelligence and computational intelligence. They also discuss machine learning in business intelligence and big data analytics, soft computing, security, cloud computing and the latest trends.

Editors and Affiliations

  • Bharati Vidyapeeth’s College of Engineering, New Delhi, India

    Vanita Jain, Gopal Chaudhary

  • Gazi University, Ankara, Turkey

    M. Cengiz Taplamacioglu

  • Indian Institute of Technology Mumbai, Mumbai, India

    M. S. Agarwal

About the editors

Prof. Vanita Jain is Head of the Information Technology Department at Bharati Vidyapeeth’s College of Engineering, New Delhi. She completed her B.E. and M.E. from Punjab Engineering College, Chandigarh, and Kurukshetra University, respectively. She received her Ph.D. from the VJTI , Mumbai University.  Her areas of interest include digital communication, control systems, optimization and system engineering. 
Dr. Gopal Chaudhary is an Assistant Professor at Bharati Vidyapeeth’s College of Engineering, New Delhi.  He received his B.Tech. from UPTU, his M.Tech. from the DTU, and his Ph.D. from the NSIT, University of Delhi. His areas of specialization are pattern recognition, computer vision and biometrics.
Dr. M. Cengiz Taplamacioglu is a Professor at the Electrical and Electronics Engineering Department, Gazi University.  He received his Ph.D. in Electrical, Electronics and Systems Engineering from the University of Wales College of Cardiff. 
Prof. M.S. Agarwal received his B. E. (Hons.) degree in Electrical Engineering from the Government Engineering College, Jabalpur, in 1963, his M.Tech. degree in Power Systems from the IIT Bombay in 1967, and his Ph.D. in Vacuum Arcs from the University of Liverpool in 1977. After completing his Ph.D., he founded a research program on Vacuum and HVDC Circuit Breakers and established new research laboratories at the IIT Bombay. He has supervised several M. Tech. and Ph.D. degree projects in these fields and published a number of research papers in prominent national and international journals.

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