Advances in Computer, Communication and Computational Sciences

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.

Sanjiv K. Bhatia  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.  He is a senior member of ACM.
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.

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