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  • Conference proceedings
  • © 2018

Progress in Computing, Analytics and Networking

Proceedings of ICCAN 2017

  • Contains state of art of concepts, prototypes, innovative research ideas in several diversified fields

  • Includes wide range of theories and methodologies that are being investigated and developed to tackle complex and challenging real world problems

  • Contributions from scientists, researchers and technocrats in academia as well as in industries from different parts of the world

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 710)

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eBook USD 189.00
Price excludes VAT (USA)
  • ISBN: 978-981-10-7871-2
  • Instant PDF download
  • Readable on all devices
  • Own it forever
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  • Tax calculation will be finalised during checkout
Softcover Book USD 249.99
Price excludes VAT (USA)

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Table of contents (79 papers)

  1. Front Matter

    Pages i-xx
  2. A Trust-Based Technique for Secure Spectrum Access in Cognitive Radio Networks

    • Sumit Kar, Srinivas Sethi, Ramesh Kumar Sahoo
    Pages 9-18
  3. Flow Aggregator Module for Analysing Network Traffic

    • Nour Moustafa, Gideon Creech, Jill Slay
    Pages 19-29
  4. Chaos-based Modified Morphological Genetic Algorithm for Software Development Cost Estimation

    • Saurabh Bilgaiyan, Kunwar Aditya, Samaresh Mishra, Madhabananda Das
    Pages 31-40
  5. An Efficient Block Phase Correlation Approach for CMFD System

    • Badal Soni, Pradip K. Das, Dalton Meitei Thounaojam
    Pages 41-49
  6. Automated Validation of DNSSEC

    • Kollapalli Ramesh Babu, Vineet Padmanabhan
    Pages 51-59
  7. Optimal Clustering in Weibull Distributed WSNs Based on Realistic Energy Dissipation Model

    • Vinay Kumar, Sadanand Yadav, Vishal Kumar, Joydeep Sengupta, Rajeev Tripathi, Sudarshan Tiwari
    Pages 61-73
  8. Verification and Validation of Trust-Based Opportunistic Routing Protocol

    • Sandeep A. Thorat, P. J. Kulkarni, S. V. Yadav
    Pages 85-93
  9. Adaptive MAC Protocol in Wireless Sensor Networks for Disaster Detection

    • Anshu Katiyar, Jitendra Kumar, Pabitra Mohan Khilar
    Pages 95-103
  10. Dynamic Security Risk Assessment in Cloud Computing Using IAG

    • Gopi Puppala, Syam Kumar Pasupuleti
    Pages 105-116
  11. Time-Efficient Advent for Diagnosing Flaws in Hadoop on the Big Sensor Type Data

    • Mehta Jaldhi Jagdishchandra, Bhargavi R. Upadhyay
    Pages 117-124
  12. Anomaly Detection System Using Beta Mixture Models and Outlier Detection

    • Nour Moustafa, Gideon Creech, Jill Slay
    Pages 125-135
  13. Performance Comparison of Deep VM Workload Prediction Approaches for Cloud

    • Yashwant Singh Patel, Rajiv Misra
    Pages 149-160
  14. A New Neural Network-Based IDS for Cloud Computing

    • Priyanka Joshi, Ritu Prasad, Pradeep Mewada, Praneet Saurabh
    Pages 161-170
  15. Analyzing Cloud Computing Security Issues and Challenges

    • Neeti Mehra, Shalu Aggarwal, Ankita Shokeen, Deepa Bura
    Pages 193-202

About this book

The book focuses to foster new and original research ideas and results in three broad areas: computing, analytics, and networking with its prospective applications in the various interdisciplinary domains of engineering. This is an exciting and emerging interdisciplinary area in which a wide range of theory and methodologies are being investigated and developed to tackle complex and challenging real world problems. It also provides insights into the International Conference on Computing Analytics and Networking (ICCAN 2017) which is a premier international open forum for scientists, researchers and technocrats in academia as well as in industries from different parts of the world to present, interact, and exchange the state of art of concepts, prototypes, innovative research ideas in several diversified fields. The book includes invited keynote papers and paper presentations from both academia and industry to initiate and ignite our young minds in the meadow of momentous research and thereby enrich their existing knowledge. The book aims at postgraduate students and researchers working in the discipline of Computer Science & Engineering. It will be also useful for the researchers working in the domain of electronics as it contains some hardware technologies and forthcoming communication technologies.

Keywords

  • Computing
  • Analytics
  • Networking
  • ICCAN
  • ICCAN 2017

Editors and Affiliations

  • School of Computer Engineering, KIIT University, Bhubaneswar, India

    Prasant Kumar Pattnaik, Siddharth Swarup Rautaray, Himansu Das

  • Department of Computer Science and Engineering, Sri Sivani College of Engineering, Srikakulam, India

    Janmenjoy Nayak

About the editors

Prasant Kumar Pattnaik, PhD (Computer Science), Fellow IETE, Senior Member IEEE, is a Professor at the School of Computer Engineering, KIIT University, Bhubaneswar, India. He has more than a decade of teaching and research experience. Dr. Pattnaik has published numbers of research papers in peer-reviewed international journals and conferences. His areas of specialization are mobile computing, cloud computing, brain computer interface and privacy preservation. He has been editor of some published volumes with Springer and IGI Global.

Siddharth Swarup Rautaray, PhD (Information Technology), Member IET, IEEE, ACM, is an Assistant Professor at the School of Computer Engineering, KIIT University, Bhubaneswar, India. His research interest includes big data analytics, human computer interaction, and image processing. He has published research papers in various international journals and conferences. He has been organising chair/committee member of different international conferences, workshops and symposiums. He has also been reviewer for different reputed journals and conferences. 

Himansu Das is working as an as Assistant Professor in the School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India. He has received his B.Tech and M.Tech degree from Biju Pattnaik University of Technology (BPUT), Odisha, India. He has published several research papers in various international journals and conferences. He has also edited several books of international repute. He is associated with different international bodies as Editorial/Reviewer board member of various journals and conferences. He is proficient in the field of Computer Science and Engineering and served as an organizing chair, publicity chair and act as member of program committees of many national and international conferences. He is also associated with various educational and research societies like IACSIT, ISTE, UACEE, CSI, IET, IAENG, ISCA, etc. He has 10 years of teaching and research experience in different engineering colleges. His research interest includes grid computing, cloud computing, and machine learning.

Janmenjoy Nayak is working as an Associate Professor, Sri Sivani College of Engineering, Srikakulam, Andhra Pradesh, India. He has been awarded INSPIRE Research Fellowship from Department of Science & Technology, Govt. of India (both as JRF and SRF level) for doing his Doctoral Research in the Department of CSE, Veer Surendra Sai University of Technology, Burla, Odisha, India. He completed his M.Tech. degree (Gold Medalist and Topper of the Batch) in Computer Science from  Fakir Mohan University, Balasore, Odisha, India and M.Sc. degree (Gold Medalist and Topper of the Batch) in Computer Science from Ravenshaw University, Cuttack, Odisha, India. He has published more than 50 research papers in various reputed peer reviewed international conferences, refereed journals and book chapters. He has also authored one textbook on “Formal Languages and Automata Theory” in Vikash Publishing House Pvt. Ltd., which has been widely acclaimed throughout the country and abroad by the students of all levels. He is the recipient of Young Faculty in Engineering-2017 Award by Venus International Foundation, Chennai. He has been serving as an active member of reviewer committee of various reputed peer reviewed journals such as IET Intelligent Transport Systems, Elsevier, Springer, Inderscience and IGI-Global journals. He is the life member of some of the reputed societies like CSI, India, OITS, OMS, and IAENG (Hong Kong). His area of interest includes data mining, nature inspired algorithms and soft computing.

Bibliographic Information

Buying options

eBook USD 189.00
Price excludes VAT (USA)
  • ISBN: 978-981-10-7871-2
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 249.99
Price excludes VAT (USA)