Progress in Computing, Analytics and Networking

1. Front Matter

   Pages i-xx

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2. Location-Independent Key Distribution for Sensor Network Using Regular Graph

   • Monjul Saikia, Md. Anwar Hussain

   Pages 1-8

3. A Trust-Based Technique for Secure Spectrum Access in Cognitive Radio Networks

   • Sumit Kar, Srinivas Sethi, Ramesh Kumar Sahoo

   Pages 9-18

4. Flow Aggregator Module for Analysing Network Traffic

   • Nour Moustafa, Gideon Creech, Jill Slay

   Pages 19-29

5. Chaos-based Modified Morphological Genetic Algorithm for Software Development Cost Estimation

   • Saurabh Bilgaiyan, Kunwar Aditya, Samaresh Mishra, Madhabananda Das

   Pages 31-40

6. An Efficient Block Phase Correlation Approach for CMFD System

   • Badal Soni, Pradip K. Das, Dalton Meitei Thounaojam

   Pages 41-49

7. Automated Validation of DNSSEC

   • Kollapalli Ramesh Babu, Vineet Padmanabhan

   Pages 51-59

8. 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

9. An Empirical Analysis of Articles on Sentiment Analysis

   • Vishal Vyas, V. Uma

   Pages 75-83

10. Verification and Validation of Trust-Based Opportunistic Routing Protocol

    • Sandeep A. Thorat, P. J. Kulkarni, S. V. Yadav

    Pages 85-93

11. Adaptive MAC Protocol in Wireless Sensor Networks for Disaster Detection

    • Anshu Katiyar, Jitendra Kumar, Pabitra Mohan Khilar

    Pages 95-103

12. Dynamic Security Risk Assessment in Cloud Computing Using IAG

    • Gopi Puppala, Syam Kumar Pasupuleti

    Pages 105-116

13. Time-Efficient Advent for Diagnosing Flaws in Hadoop on the Big Sensor Type Data

    • Mehta Jaldhi Jagdishchandra, Bhargavi R. Upadhyay

    Pages 117-124

14. Anomaly Detection System Using Beta Mixture Models and Outlier Detection

    • Nour Moustafa, Gideon Creech, Jill Slay

    Pages 125-135

15. Optimization of Handoff Latency Using Efficient Spectrum Sensing for CR System

    • Rohini S. Kale, J. B. Helonde

    Pages 137-147

16. Performance Comparison of Deep VM Workload Prediction Approaches for Cloud

    • Yashwant Singh Patel, Rajiv Misra

    Pages 149-160

17. A New Neural Network-Based IDS for Cloud Computing

    • Priyanka Joshi, Ritu Prasad, Pradeep Mewada, Praneet Saurabh

    Pages 161-170

18. Designing of an Orchestration Mechanism for the Efficient Web-Services Composition

    • Reena Gupta, Raj Kamal, Ugrasen Suman

    Pages 171-182

19. Influence of Parameters in Multiple Sequence Alignment Methods for Protein Sequences

    • P. Manikandan, D. Ramyachitra

    Pages 183-191

20. Analyzing Cloud Computing Security Issues and Challenges

    • Neeti Mehra, Shalu Aggarwal, Ankita Shokeen, Deepa Bura

    Pages 193-202

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.

• Computing
• Analytics
• Networking
• ICCAN
• ICCAN 2017

• 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

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 AutomataTheory” 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.

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