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  • © 2019

Data, Engineering and Applications

Volume 2

  • Explores challenges in Big Data in the diversified field of engineering and the sciences

  • Covers the varied applications of Big Data

  • Presents a compilation of current trends, technologies, and challenges in connection with Big Data

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Table of contents (27 chapters)

  1. Front Matter

    Pages i-x
  2. Big Data and Cloud Computing

    1. Front Matter

      Pages 1-1
    2. Efficient MapReduce Framework Using Summation

      • Sahiba Suryawanshi, Praveen Kaushik
      Pages 3-11
    3. Secret Image Sharing Over Cloud Using One-Dimensional Chaotic Map

      • Priyamwada Sharma, Vedant Sharma
      Pages 13-23
    4. Design and Development of a Cloud-Based Electronic Medical Records (EMR) System

      • Victoria Samuel, Adewole Adewumi, Benjamin Dada, Nicholas Omoregbe, Sanjay Misra, Modupe Odusami
      Pages 25-31
    5. Log-Based Approach for Security Implementation in Cloud CRM’s

      • Madhur Patidar, Pratosh Bansal
      Pages 33-43
  3. Network and Securities

    1. Front Matter

      Pages 75-75
    2. Certificate Revocation in Hybrid Ad Hoc Network

      • Anubha Chaturvedi, Brijesh Kumar Chaurasia
      Pages 85-91
    3. NB Tree Based Intrusion Detection Technique Using Rough Set Theory Model

      • Neha Gupta, Ritu Prasad, Praneet Saurabh, Bhupendra Verma
      Pages 93-101
    4. An Energy-Efficient Intrusion Detection System for MANET

      • Preeti Pandey, Atul Barve
      Pages 103-117
    5. DDoS Attack Mitigation Using Random and Flow-Based Scheme

      • Bansidhar Joshi, Bineet Joshi, Kritika Rani
      Pages 119-128
    6. Digital Image Watermarking Against Geometrical Attack

      • Sandeep Rai, Rajesh Boghey, Dipesh Shahane, Priyanka Saxena
      Pages 129-145
    7. Efficient Decentralized Key Management Approach for Vehicular Ad Hoc Network

      • Shikha Rathore, Jitendra Agrawal, Sanjeev Sharma, Santosh Sahu
      Pages 147-161
    8. Image Forgery Detection: Survey and Future Directions

      • Kunj Bihari Meena, Vipin Tyagi
      Pages 163-194
    9. Comparative Study of Digital Forensic Tools

      • Mayank Lovanshi, Pratosh Bansal
      Pages 195-204
    10. Enhanced and Secure Acknowledgement IDS in Mobile Ad Hoc Network by Hybrid Cryptography Technique

      • Aumreesh Kumar Saxena, Piyush Shukla, Sitesh Kumar Sinha
      Pages 217-227

About this book

This book presents a compilation of current trends, technologies, and challenges in connection with Big Data. Many fields of science and engineering are data-driven, or generate huge amounts of data that are ripe for the picking. There are now more sources of data than ever before, and more means of capturing data. At the same time, the sheer volume and complexity of the data have sparked new developments, where many Big Data problems require new solutions. 
Given its scope, the book offers a valuable reference guide for all graduate students, researchers, and scientists interested in exploring the potential of Big Data applications.





Keywords

  • Big Data
  • Text Mining
  • Clustering
  • Cloud Computing
  • Ad-hoc

Editors and Affiliations

  • Department of Computer Science and Engineering, Sagar Institute of Research & Technology (SIRT), Bhopal, India

    Rajesh Kumar Shukla

  • School of Information Technology, Rajiv Gandhi Technical University, Bhopal, India

    Jitendra Agrawal

  • School of Information Technology, Rajiv Gandhi Technological University, Bhopal, India

    Sanjeev Sharma

  • THDC Institute of Hydropower Engineering and Technology, Tehri, India

    Geetam Singh Tomer

About the editors

Dr Rajesh K Shukla is a Professor and Head of the Department of Computer Science and Engineering, SIRT, Bhopal, India. With more than 20 years of teaching and research experience he has authored 8 books and has published/presented has more than 40 papers in international journals and conferences. Dr Shukla received an ISTE U.P. Government National Award in 2015 and various prestigious awards from the Computer Society of India. His research interests include recommendation systems and machine learning. He is fellow of IETE, a senior member of IEEE, a life member of ISTE, ISCA, and a member of ACM and IE(I).  


Dr Jitendra Agrawal is a faculty member in the Department of Computer Science & Engineering, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India. His research interests include data mining and computational intelligence. He has authored 02 books and published more than 60 papers in international journals and conferences. Dr Agrawal is a senior member of IEEE, life member of CSI, ISTE and member of IAENG. He has served as part of the program committees for several international conferences organised in countries such as the USA, India, New Zealand, Korea, Indonesia and Thailand. 


Dr Sanjeev Sharma is a Professor and Head of the School of Information Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, MP, India. He has over 29 years of teaching and research experience and received the World Education Congress Best Teacher Award in Information Technology. His research interests include mobile computing, ad-hoc networks, image processing and information security. He has edited proceedings of several national and international conferences and published more than 150 research papers in reputed journals. He is a member of IEEE, CSI, ISTE and IAENG.


Dr G S Tomer is the Director of THDC Institute of Hydropower Engineering and Technology (Government of Uttarakhand), Tehri, India. He received the International Plato award for Educational Achievements in 2009. He completed his doctorate in Electronics Engineering from RGPV Bhopal and postdoctorate from the University of Kent, United Kingdom. 
Dr Tomar has more than 30 years of teaching and research experience and has published over 200 research papers in reputed journals, as well as 11 books and 7 book chapters. He is a senior member of IEEE, ACM and IACSIT, a fellow of IETE and IE(I), and a member of CSI and ISTE. He has also edited the proceedings of more than 20 IEEE conferences and has been the general chair of over 30 Conferences.

Bibliographic Information

  • Book Title: Data, Engineering and Applications

  • Book Subtitle: Volume 2

  • Editors: Rajesh Kumar Shukla, Jitendra Agrawal, Sanjeev Sharma, Geetam Singh Tomer

  • DOI: https://doi.org/10.1007/978-981-13-6351-1

  • Publisher: Springer Singapore

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Singapore Pte Ltd. 2019

  • Hardcover ISBN: 978-981-13-6350-4Published: 07 May 2019

  • Softcover ISBN: 978-981-13-6353-5Published: 02 October 2020

  • eBook ISBN: 978-981-13-6351-1Published: 24 April 2019

  • Edition Number: 1

  • Number of Pages: X, 343

  • Number of Illustrations: 63 b/w illustrations, 103 illustrations in colour

  • Topics: Big Data, Data Mining and Knowledge Discovery, Artificial Intelligence

Buy it now

Buying options

eBook USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 139.99
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