Advances in Data Sciences, Security and Applications

1. Front Matter

   Pages i-xi

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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

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.

• Pattern recognition
• Fuzzy computing
• Deep learning
• Data Science
• High performance/Parallel computing
• Data Integrity
• Data privacy and security
• Database architecture and performance
• Opinion mining and sentiment analysis
• ICDSSA 2019
• ICDSSA Proceedings

• 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

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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