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SpringerBriefs in Forensic and Medical Bioinformatics

Social Network Forensics, Cyber Security, and Machine Learning

Authors: Krishna, P. Venkata, Gurumoorthy, Sasikumar, Obaidat, Mohammad S.

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About this book

This book discusses the issues and challenges in Online Social Networks (OSNs). It highlights various aspects of OSNs consisting of novel social network strategies and the development of services using different computing models. Moreover, the book investigates how OSNs are impacted by cutting-edge innovations.

About the authors

Dr. P. Venkata Krishna is currently a Professor of Computer Science and Director of Sri Padmavati Mahila University, Tirupati, India. He received his Ph.D. from VIT University, Vellore, India. Dr. Krishna has several years of experience working in academia, research, teaching, consultancy, academic administration and project management roles. His current research interests include mobile and wireless systems, cross layer wireless network design, QoS and cloud computing. He has authored 15 books on computer networks and programming languages. He is currently the Editor-in-Chief for the International Journal of Smart Grid and Green Communications, Inderscience Publishers, Switzerland and also Editor of the International Journal of Systemics, Cybernetics and Informatics and the Journal of Advanced Computing Technologies. He is an Associate Editor for International Journal of Communication Systems, Wiley. He is a senior member several professional societies, including IEEE, ACM, CSI, IE(I) etc. 

Dr. Sasikumar Gurumoorthy received his Ph.D. in Computer Science and Engineering from VIT University (VIT), Vellore, Tamil Nadu, India. He is currently a Professor at the Department of Computer Science and Systems engineering at Sree Vidyanikethan Engineering College, Tirupati, India. He has published more than 80 technical papers in various international journals, conferences, as well as three books and five book chapters. His current interests include soft computing and artificial intelligence in biomedical engineering, human and machine interaction and applications of intelligent system techniques, new user interfaces, brain-based interactions, human-centric computing, fuzzy sets and systems, image processing, cloud computing, content-based learning and social network analysis. 

Dr. Mohammad S. Obaidat (Fellow of IEEE and Fellow of SCS) is an internationally respected academic and researcher. He received his Ph.D. and M.S. degrees in Computer Engineering with a minor in Computer Science from The Ohio State University, Columbus, Ohio, USA. Among his previous positions are Advisor to the President of Philadelphia University for Research, Development and Information Technology, President of the Society for Molding and Simulation International, SCS, Senior Vice President of SCS, Dean of the College of Engineering at Prince Sultan University, Chair and Professor at the Department of Computer and Information Science and Director of the MS Graduate Program in Data Analytics at Fordham University, Chair and Professor of the Department of Computer Science and Director of the Graduate Program at Monmouth University. Dr. Obaidat is currently a Full Professor at the King Abdullah II School of Information Technology, the University of Jordan. He is the founding Editor-in-Chief of the Wiley Security and Privacy Journal and is also the Editor-in-Chief of the Wiley International Journal of Communication Systems, and the FTRA Journal of Convergence. He served as the Editor-in-Chief of the KSIP Journal of Information Processing. He is also an Editor of IEEE Wireless Communications, IEEE Systems Journal, Simulation: Transactions of the Society for Modeling and Simulations (SCS) International, Elsevier Computer Communications Journal, Springer Journal of Supercomputing, IET Wireless Sensor Systems, SCS Journal of Defense Modeling and Simulation, International Journal of Communication Networks and Distributed Systems, The Academy Journal of Communications, International Journal of BioSciences and Technology, International Journal of Information Technology and ICST Transactions on Industrial Networks and Intelligent Systems, among others.

 

Table of contents (9 chapters)

Table of contents (9 chapters)
  • Classifying Content Quality and Interaction Quality on Online Social Networks

    Pages 1-7

    Waheed, Amtul (et al.)

  • Population Classification upon Dietary Data Using Machine Learning Techniques with IoT and Big Data

    Pages 9-27

    Mani, Jangam J. S. (et al.)

  • Investigating Recommender Systems in OSNs

    Pages 29-44

    Shafi, Jana (et al.)

  • A Methodology for Processing Opinion Mining on GST in India from Social Media Data Using Recursive Neural Networks and Maximum Entropy Techniques

    Pages 45-57

    Muthu Lakshmi, N. V. (et al.)

  • A Framework for Sentiment Analysis Based Recommender System for Agriculture Using Deep Learning Approach

    Pages 59-66

    Nimirthi, Pradeepthi (et al.)

Buy this book

eBook $54.99
price for Brazil
  • ISBN 978-981-13-1456-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for Brazil
  • ISBN 978-981-13-1455-1
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
Social Network Forensics, Cyber Security, and Machine Learning
Authors
Series Title
SpringerBriefs in Forensic and Medical Bioinformatics
Copyright
2019
Publisher
Springer Singapore
Copyright Holder
The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-13-1456-8
DOI
10.1007/978-981-13-1456-8
Softcover ISBN
978-981-13-1455-1
Series ISSN
2196-8845
Edition Number
1
Number of Pages
VIII, 116
Topics