Advances in Internet, Data & Web Technologies: The 10th International Conference on Emerging Internet, Data and Web Technologies (Eidwt-2022)

ISBN-13: 9783030959029 / Angielski / Miękka / 2022 / 484 str.

Leonard Barolli; Elis Kulla; Makoto Ikeda

Spis treści

Service Platform for Social and Community to Drive the Royal Project Foundation.- Implementation of a Local-community Issues Visualization System using Open Data and Future Population Projection.- SAE+Bi-GRU Based Security Situation Prediction for Smart Grid.- Design of Identity Authentication Scheme for Dynamic Service Command System Based on SM2 Algorithm and Blockchain Technology.- Visual Authentication Codes Generated Using Predictive Intelligence.- Reliable Network Design Problem by Improving Node Reliability.- Toward Secure K-means Clustering Based on Homomorphic Encryption in Cloud.- On the Insecurity of a Certificateless Public Verification Protocol for the Outsourced Data Integrity in Cloud Storage.- On the Insecurity of a Certificateless Public Verification Protocol for the Outsourced Data Integrity in Cloud Storage.- Community Division Algorithm Based on Node Similarity and Multi-Attribute Fusion.- Research on TCM Patent Annotation to Support Medicine R&D and Patent Acquisition Decision-Making.- Research on TCM Patent Annotation to Support Medicine R&D and Patent Acquisition Decision-Making.- Blockchain for Islamic HRM: Potentials and Challenges on Psychological Work Contract.- Blockchain for Islamic HRM: Potentials and Challenges on Psychological Work Contract.

Blurb

This book presents original contributions to the theories and practices of emerging Internet, data, and Web technologies and their applicability in businesses, engineering, and academia. Internet has become the most proliferative platform for emerging large-scale computing paradigms. Among these, data and Web technologies are two most prominent paradigms, in a variety of forms such as Data Centers, Cloud Computing, Mobile Cloud, Mobile Web Services, and so on. These technologies altogether create a digital ecosystem whose corner stone is the data cycle, from capturing to processing, analysis, and visualization. The investigation of various research and development issues in this digital ecosystem is boosted by the ever-increasing needs of real-life applications, which are based on storing and processing large amounts of data.

As a key feature, it addresses advances in the life cycle exploitation of data generated from the digital ecosystem data technologies that create value for the knowledge and businesses toward a collective intelligence approach.

Researchers, software developers, practitioners, and students interested in the field of data and Web technologies find this book useful and a reference for their activity.