Machine Learning in Cyber Trust: Security, Privacy, and Reliability PDF Free Book Summary
The Book “Machine Learning in Cyber Trust: Security, Privacy, and Reliability” is written on machine learning methods. Two great editors Jeffrey J. P. Tsai and Philip S. Yu organize this book for readers. It is skillfully written in an easy-to-understand manner. It enables readers to discover what types of learning methods are at their disposal, summarizing the state-of-the-practice in this significant area, and giving a classification of existing work. Its chapters contain original materials by leading researchers in the area and covers applications of different machine learning methods in the reliability, security, performance, and privacy issues of cyberspace. Industrial managers, researchers, engineers, and graduate and senior undergraduate students can take benefits from this book. Those working in the field of cyber-based systems will find this an indispensable guide in creating systems resistant to and tolerant of cyber attacks. At the end of the book, authors discussed the models, properties, and applications of context-aware Web services, including an ontology-based context model to enable formal description and acquisition of contextual information pertaining to service requestors and services. Overall it is a good read for machine learning methods. You can also Download Net Smart: How to Thrive Online by Howard Rheingold PDF Free.
Machine Learning in Cyber Trust: Security, Privacy, and Reliability PDF Free by Philip S. Yu (Editor) Download
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