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  • Conference proceedings
  • © 2021

Data Science and Security

Proceedings of IDSCS 2020

  • Presents research works in the field of data science
  • Results of IDSCS 2020 held at Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India
  • Serves as a reference for researchers and practitioners in academia and industry

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 132)

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Table of contents (35 papers)

  1. Front Matter

    Pages i-xvii
  2. An Approach to Predict Potential Edges in Online Social Networks

    • Praveen Kumar Bhanodia, Aditya Khamparia, Babita Pandey
    Pages 1-6
  3. Data Mining Models Applied in Prediction of IVF Success Rates: An Overview

    • G. S. Gowramma, Shantharam Nayak, Nagaraj Cholli
    Pages 49-60
  4. TreeXP—An Instantiation of XPattern Framework

    • Thulasi Accottillam, K. T. V. Remya, G. Raju
    Pages 61-69
  5. Survey on DNS-Specific Security Issues and Solution Approaches

    • N. Usman Aijaz, Mohammed Misbahuddin, Syed Raziuddin
    Pages 79-89
  6. Algorithms for the Metric Dimension of a Simple Graph

    • Xavier Chelladurai, Joseph Varghese Kureethara
    Pages 91-105
  7. A Survey on Guiding Customer Purchasing Patterns in Modern Consumerism Scenario in India

    • Sonia Maria D’Souza, K. Satyanarayan Reddy, P. Nanda
    Pages 115-126
  8. ALOSI: Aspect-Level Opinion Spam Identification

    • Pratik P. Patil, Shraddha Phansalkar, Swati Ahirrao, Ambika Pawar
    Pages 135-147
  9. Adaptive Artificial Bee Colony (AABC)-Based Malignancy Pre-Diagnosis

    • Sujatha Arun Kokatnoor, Balachandran Krishnan
    Pages 149-157
  10. A Novel Approach of OTP Generation Using Time-Based OTP and Randomization Techniques

    • Siddharth Suresh Gosavi, Gopal Krishna Shyam
    Pages 159-167
  11. Classifying Bipolar Personality Disorder (BPD) Using Long Short-Term Memory (LSTM)

    • Sreyan Ghosh, Kunj Pahuja, Joshua Mammen Jiji, Antony Puthussery, Samiksha Shukla, Aynur Unal
    Pages 169-176
  12. An IoT-Based Fog Computing Approach for Retrieval of Patient Vitals

    • J. Hilda Janice, Diana Jeba Jingle I
    Pages 177-183
  13. Recommender System for Analyzing Students’ Performance Using Data Mining Technique

    • Shruti Petwal, K. Sunny John, Gorla Vikas, Sandeep Singh Rawat
    Pages 185-191

About this book

This book presents best selected papers presented at the International Conference on Data Science for Computational Security (IDSCS 2020), organized by the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India, during 13–14 March 2020. The proceeding will be targeting the current research works in the areas of data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing and cloud computing.

Editors and Affiliations

  • Department of Computer Science, Namibia University of Science and Technology, Windhoek, Namibia

    Dharm Singh Jat

  • CHRIST (Deemed to be University), Pune Lavasa Campus, Lavasa, India

    Samiksha Shukla

  • Stanford University, Stanford, USA

    Aynur Unal

  • Computer Science and Engineering, Sri Aurobindo Institute of Technology, Indore, India

    Durgesh Kumar Mishra

About the editors

Prof. Dharm Singh Jat received his degree Master of Engineering and Ph.D. in Computer Science and Engineering from prestigious universities in India. He is a Professor of Computer Science at Namibia University of Science and Technology (NUST). From 1990 to 2014, he was with the College of Technology and Engineering, Maharana Pratap University of Agricultural and Technology – [MPUAT], Udaipur, India. He has guided about 8 Ph.D. and 24 master research scholars.

He is the author of more than 150 peer-reviewed articles and the author or editor of more than 20 books. His interests span the areas of multimedia communications, wireless technologies, mobile communication systems, edge roof computing software-defined networks, network security and Internet of things. He has given several Guest Lecturer/Invited talk at various prestigious conferences. He has been the recipient of more than 19 prestigious awards, such as Eminent Scientist Award, Distinguished Academic Achievement, Eminent Engineering Personality, CSI Chapter Patron, CSI Significant Contribution, Best Faculty Researcher, Best Technical Staff, Outstanding University Service Award and Distinguished ACM Speaker Award. Prof. Dharm Singh is a Fellow of The Institution of Engineers (I), Fellow of Computer Society of India, Chartered Engineer (I), Senior Member IEEE and Distinguished ACM Speaker.

Dr. Samiksha Shukla is currently employed as an Associate Professor and Head, Data Science Department, CHRIST (Deemed to   be University), Lavasa, Pune Campus. Her research interest includes computation security, machine learning, data science and big data. She has presented and published several research papers in reputed journals and conferences. She has 15 years of academic and research experience and is serving as a reviewer for Inderscience Journal, Springer Nature’s International Journal of Systems Assurance Engineering and Management (IJSA) and for IEEE and ACM conferences.

Dr. Aynur Unal, educated at Stanford University (class of ’73), comes from a strong engineering design and manufacturing tradition, majored in Structural Mechanics-Mechanical Engineering-Applied Mechanics and Computational Mathematics from Stanford University. She has taught at Stanford University till mid 80’s and established the Acoustics Institute in conjunction with NASA-AMES research fellowships funds. Her work on “New Transform Domains for the Onset of Failures” received the most innovative research awards. Most recently she is bringing in the social responsibility dimension into her incubation and innovation activities by getting involved in social entrepreneurial projects on street children and ageing care. She is also the Strategic Adviser for Institutional Development to IIT Guwahati. She is a preacher of Open Innovation, and she always encourages students to innovate and helps them with her support.

Dr. Durgesh Kumar Mishra has received M.Tech.degree in Computer Science from DAVV, Indore, in 1994 and Ph.D. in Computer Engineering in 2008. Presently he is working as Professor (CSE) and Director Microsoft Innovation Centre at Sri Aurobindo Institute of Technology, Indore, Madhya Pradesh, India. He is having around 24 years of teaching experience and more than 6 years of research experience. His research topics are secure multi-party computation, image processing and cryptography. He has published more than 80 papers in refereed international/national journals and conferences including IEEE and ACM. He is a senior member of IEEE, Computer Society of India and ACM. He has played very important role in professional society as Chairman. He has been a consultant to industries and Government organization like Sales tax and Labor Department of Government of Madhya Pradesh, India.

 

 

 

 



Bibliographic Information

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access