Machine Learning in Cyber Trust is popular PDF and ePub book, written by Jeffrey J. P. Tsai in 2009-04-05, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Machine Learning in Cyber Trust can be Read Online from any device for your convenience.
Machine Learning in Cyber Trust Book PDF Summary
Many networked computer systems are far too vulnerable to cyber attacks that can inhibit their functioning, corrupt important data, or expose private information. Not surprisingly, the field of cyber-based systems is a fertile ground where many tasks can be formulated as learning problems and approached in terms of machine learning algorithms. This book contains 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 cyber space. 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. Those working in the field of cyber-based systems, including industrial managers, researchers, engineers, and graduate and senior undergraduate students will find this an indispensable guide in creating systems resistant to and tolerant of cyber attacks.
Detail Book of Machine Learning in Cyber Trust PDF
- Author : Jeffrey J. P. Tsai
- Release : 05 April 2009
- Publisher : Springer Science & Business Media
- ISBN : 9780387887357
- Genre : Computers
- Total Page : 367 pages
- Language : English
- PDF File Size : 16,6 Mb
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