Network Science and Cybersecurity

Nonfiction, Computers, Networking & Communications, Computer Security, Operating Systems, Application Software
Cover of the book Network Science and Cybersecurity by , Springer New York
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781461475972
Publisher: Springer New York Publication: June 14, 2013
Imprint: Springer Language: English
Author:
ISBN: 9781461475972
Publisher: Springer New York
Publication: June 14, 2013
Imprint: Springer
Language: English

Network Science and Cybersecurity introduces new research and development efforts for cybersecurity solutions and applications taking place within various U.S. Government Departments of  Defense, industry and academic laboratories.

This book examines new algorithms and tools, technology platforms and reconfigurable technologies for cybersecurity systems. Anomaly-based intrusion detection systems (IDS) are explored as a key component of any general network intrusion detection service, complementing signature-based IDS components by attempting to identify novel attacks.  These attacks  may not yet be known or have well-developed signatures.  Methods are also suggested to simplify the construction of metrics in such a manner that they retain their ability to effectively cluster data, while simultaneously easing human interpretation of outliers.

This is a professional book for practitioners or government employees working in cybersecurity, and can also be used as a reference.  Advanced-level students in computer science or electrical engineering studying security will also find this book useful . 

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Network Science and Cybersecurity introduces new research and development efforts for cybersecurity solutions and applications taking place within various U.S. Government Departments of  Defense, industry and academic laboratories.

This book examines new algorithms and tools, technology platforms and reconfigurable technologies for cybersecurity systems. Anomaly-based intrusion detection systems (IDS) are explored as a key component of any general network intrusion detection service, complementing signature-based IDS components by attempting to identify novel attacks.  These attacks  may not yet be known or have well-developed signatures.  Methods are also suggested to simplify the construction of metrics in such a manner that they retain their ability to effectively cluster data, while simultaneously easing human interpretation of outliers.

This is a professional book for practitioners or government employees working in cybersecurity, and can also be used as a reference.  Advanced-level students in computer science or electrical engineering studying security will also find this book useful . 

More books from Springer New York

Cover of the book The Social Psychology of Sport by
Cover of the book Kernel Learning Algorithms for Face Recognition by
Cover of the book Ethnic Rhinoplasty by
Cover of the book Radiation Therapy Study Guide by
Cover of the book Mental Health Computing by
Cover of the book Synthesis of Computational Structures for Analog Signal Processing by
Cover of the book A Textbook of Graph Theory by
Cover of the book Stochastic Tools in Mathematics and Science by
Cover of the book Introduction to Oncogenes and Molecular Cancer Medicine by
Cover of the book Ergodic Theory, Open Dynamics, and Coherent Structures by
Cover of the book GI Endoscopic Emergencies by
Cover of the book An Introduction to the Physical Chemistry of Food by
Cover of the book Residue Reviews / Rückstands-Berichte by
Cover of the book Nuclear Cardiology Study Guide by
Cover of the book Foodborne Microbial Pathogens by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy