| Description |
1 online resource (x, 343 pages) : illustrations |
| Contents |
Part I: Big data and cloud computing: 1. Efficient MapReduce framework using summation / Sahiba Suryawanshi, Praveen Kaushik -- 2. Secret image sharing over cloud using one-dimensional chaotic map / Priyamwada Sharma, Vedant Sharma -- 3. Design and development of a cloud-based electronic medical records (EMR) system / Victoria Samuel, Adewole Adewumi, Benjamin Dada, Nicholas Omoregbe, Sanjay Misra, Modupe Odusami -- 4. Log-based approach for security implementation in cloud CRM's / Madhur Patidar, Pratosh Bansal -- 5. Performance analysis of scheduling algorithms in Apache Hadoop / Ankit Shah, Mamta Padole -- 6. Energy-aware prediction-based load balancing approach with VM migration for the cloud environment / Durga Patel, Rajeev Kumar Gupta, R.P. Pateriya |
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Part II: Network and securities: 7. Authentication process using secure sum for a new node in mobile ad hoc network / Praveen Gupta, Pratosh Bansal -- 8. Certificate revocation in hybrid ad hoc network / Anubha Chaturvedi, Brijesh Kumar Chaurasia -- 9. NB tree based intrusion detection technique using rough set theory model / Neha Gupta, Ritu Prasad, Praneet Saurabh, Bhupendra Verma -- 10. An energy-efficient intrusion detection system for MANET / Preeti Pandey, Atul Barve -- 11. DDoS attack mitigation using random and flow-based scheme / Bansidhar Joshi, Bineet Joshi, Kritika Rani -- 12. Digital image watermarking against geometrical attack / Sandeep Rai, Rajesh Boghey, Dipesh Shahane, Priyanka Saxena -- 13. Efficient decentralized key management approach for vehicular ad hoc network / Shikha Rathore, Jitendra Agrawal, Sanjeev Sharma, Santosh Sahu -- 14. Image forgery detection : survey and future directions / Kunj Bihari Meena, Vipin Tyagi -- 15. Comparative study of digital forensic tools / Mayank Lovanshi, Pratosh Bansal -- 16. A systematic survey of mobile forensic tools used for forensic analysis of Android-based social networking applications / Nirneeta Gupchup, Nishchol Mishra -- 17. Enhanced and secure acknowledgement IDS in mobile ad hoc network by hybrid cryptography technique / Aumreesh Kumar Saxena, Piyush Shukla, Sitesh Kumar Sinha -- 18. Formal verification of causal order-based load distribution mechanism using Event-B / Pooja Yadav, Raghuraj Suryavanshi, Arun Kumar Singh, Divakar Yadav |
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Part III: Internet of Things and related areas: 19. An IoT-based architecture for crime management in Nigeria / Falade Adesola, Sanjay Misra, Nicholas Omoregbe, Robertas Damasevicius, Rytis Maskeliunas -- 20. A comparative analysis of techniques for executing branched instructions / Sanjay Misra, Abraham Ayegba Alfa, Kehinde Douglas Ajagbe, Modupe Odusami, Olusola Abayomi-Alli -- 21. Design and implementation of an e-policing system to report crimes in Nigeria / Nicolas Omoregbe, Sanjay Misra, Rytis Maskeliunas, Robertas Damasevicius, Adesola Falade, Adewole Adewumi -- 22. Performance evaluation of ensemble learners on smartphone sensor generated human activity data set / Dilip Singh Sisodia, Ankit Kumar Yogi -- 23. An insight into time synchronization algorithms in IoT / Neha Dalwadi, Mamta Padole -- 24. Comparative study of the electrical energy consumption and cost for a residential building with conventional appliances vis-a-vis one with energy-efficient appliances / Adeyemi Alabi, Oluwasikemi Ogunleye, Sanjay Misra, Olusola Abayomi-Alli, Ravin Ahuja, Modupe Odusami -- 25. Particle swarm optimization-based MPPT controller for wind turbine systems / Shefali Jagwani, L. Venkatesha -- 26. A new model of M-secure image via quantization / Vijay Bhandari, Sitendra Tamrakar, Piyush Shukla, Arpana Bhandari -- 27. Analysis on applicability and feasibility of dynamic programming on the basis of time complexity and space through case studies / Manish Dixit, Mohd Aijaj Khan |
| Summary |
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. -- Provided by publisher |
| Bibliography |
Includes bibliographical references |
| Notes |
Online resource; title from PDF title page (EBSCO, viewed April 25, 2019) |
| Subject |
Data mining.
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Machine learning.
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Data Mining
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Machine Learning
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COMPUTERS -- General.
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Data mining
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Machine learning
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| Form |
Electronic book
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| Author |
Shukla, Rajesh K., editor.
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Agrawal, Jitendra, editor.
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Sharma, Sanjeev (Information technology executive), editor.
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Tomer, Geetam Singh, editor
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| ISBN |
9789811363511 |
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981136351X |
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