Details

A Novel Crypto-Ransomware Family Classification Based on Horizontal Feature Simplification.- Characteristics Analysis and Experimental Simulation of Diffuse Link Channel for Indoor Wireless Optical Communication.- A Comparative Analysis of Malware Anomaly Detection.- Future Identity Card using Lattice-based Cryptography and Steganography.- Cryptanalysis on Attribute-Based Encryption from Ring-Learning with Error (R-Lwe).- Enhanced Password-Based Authentication Mechanism in Cloud Computing with Extended Honey Encryption (Xhe):  A Case Study on Diabetes Dataset.- An Enhanced Wireless Presentation System for Large-Scale Content Distribution.- On Confidentiality, Integrity, Authenticity and Freshness (CIAF) in WSN.- Networking Analysis and Performance Comparision of Kubernetes CNI Plugins.- Classifying Time-Bound Hierarchical Key Assignment Schemes.- A Survey on Cloud Workflow Collaborative Adaptive Scheduling.- Lattice CP-ABE Scheme Supporting Reduced-OBDD Structure.- Crypto-SAP Protocol for Sybil Attack Prevention in VANETs.- Managerial Computer Communication: Implementation of Applied Linguistics Approaches in Managing Electronic Communication.- Advance Persistent Threat - A Systematic Review of Literature and Meta-Analysis of Threat Vectors.- Construction of a Teaching Support System Based on 5G Communication Technology.

<div>Sanjiv K. Bhatia&nbsp; works as a Professor of Computer Science at the University of Missouri, St. Louis, USA. His primary areas of research include image databases, digital image processing, and computer vision. In addition to publishing many articles in these areas, he has consulted extensively with industry for commercial and military applications of computer vision. He is an expert on system programming and has worked on real-time and embedded applications. He has taught a broad range of courses in computer science and has been the recipient of the Chancellor’s Award for Excellence in Teaching. He is also the Graduate Director for Computer Science in his department.&nbsp; He is a senior member of ACM.</div><div><br><div>Shailesh Tiwari currently works as a Professor at the Department of Computer Science and Engineering, ABES Engineering College, Ghaziabad, India. He is an alumnus of Motilal Nehru National Institute of Technology Allahabad, India. His primary areas of researchare software testing, implementation of optimization algorithms, and machine learning techniques in software engineering. He has authored more than 50 publications in international journals and the proceedings of leading international conferences. He also serves as an editor for various Scopus, SCI, and E-SCI-indexed journals and has organized several international conferences under the banner of the IEEE and Springer. He is a senior member of the IEEE and a member of the IEEE Computer Society.<br></div><div><br></div><div>Ruidan Su is currently an Assistant Professor at Shanghai Advanced Research Institute, Chinese Academy of Sciences. He has completed his Ph.D. from Northeastern University in 2014. His research areas include machine learning, computational intelligence, software engineering, data analytics, system optimization, multi-population genetic algorithm. Dr. Su has served as Editor-in-Chief of the journal “Journal of Computational Intelligence and Electronic Systems” during2012–2016. He has published more than 20 papers in international journals.<br></div><div><br></div><div>Dr. Munesh Chandra Trivedi is currently working as Associate Professor, Department of Computer Science & Engineering, National Institute of Technology, Agartala (Tripura).&nbsp; He worked as Dean Academics, HoD & Associate Professor (IT), Rajkiya Engineering College with additional responsibility of Associate Dean UG Programs, Dr. APJ Abdul Kalam Technical University, Lucknow (State Technical University). He was also the Director (In charge) at Rajkiya Engineering College, Azamgarh. He has a very rich experience of teaching the undergraduate and postgraduate classes in Government Institutions as well as prestigious Private institutions. He has 11 parents in his credit.He has published 12 text books and 107 research papers publications in different International Journals and in Proceedings of International Conferences of repute. He has also edited 21 books of the Springer Nature and also written 23 book chapters for Springer Nature. He has received numerous awards including Young Scientist Visiting Fellowship, Best Senior Faculty award, outstanding Scientist, Dronacharya Award, Author of Year and Vigyan Ratan Award from different national as well international forum. He has organized more than 32 international conferences technically sponsored by IEEE, ACM and Springer’s. He has also worked as Member of organizing committee in several IEEE international conferences in India and abroad. He was Executive Committee Member of IEEE UP Section, IEEE computer Society Chapter India Council and also IEEE Asia Pacific Region-10. He is an active member of IEEE Computer Society, International Association of Computer Science and Information Technology, Computer Society of India, International Association of Engineers, and life member of ISTE.<br></div><div><br></div>Krishn Kumar Mishra is currently working as an Assistant Professor at the Department of Computer Science and Engineering, Motilal Nehru National Institute of Technology Allahabad, India. He has also been a Visiting Faculty at the Department of Mathematics and Computer Science, University of Missouri, St. Louis, USA. His primary areas of research include evolutionary algorithms, optimization techniques and design, and analysis of algorithms. He has also authored more than 50 publications in international journals and the proceedings of leading international conferences. He currently serves as a program committee member of several conferences and an editor for various Scopus and SCI-indexed journals.</div>

This book discusses recent advances in computer and computational sciences from upcoming researchers and leading academics around the globe. It presents high-quality, peer-reviewed papers presented at the International Conference on Computer, Communication and Computational Sciences (IC4S 2019), which was held on 11—12 October 2019 in Bangkok. Covering a broad range of topics, including intelligent hardware and software design, advanced communications, intelligent computing techniques, intelligent image processing, the Web and informatics, it offers readers from the computer industry and academia key insights into how the advances in next-generation computer and communication technologies can be shaped into real-life applications.

Includes best selected peer-reviewed papers on communication, computational sciences and technology Presents interesting data and recent findings in computational sciences Serves as a reference for readers who are seeking guidance in the vast field of scientific research