DYNAMICALLY ENABLED CYBER DEFENSE DYNAMICALLY ENABLED CYBER DEFENSE

DYNAMICALLY ENABLED CYBER DEFENSE

    • 114,99 €
    • 114,99 €

Beschreibung des Verlags

The book puts forward dynamically enabled cyber defense technology as a solution to the system homogenization problem. Based on the hierarchy of the protected information system entity, the book elaborates on current mainstream dynamic defense technologies from four aspects: the internal hardware platform, software service, information data and external network communication. It also ascertains their possible evolution routes, clarifies their relationship with existing security products, and makes macro analyses and discussions on security gain and overall system efficiency of these technologies.This book can be used as both a textbook for graduate courses related to electronic information as well as a reference for scientific researchers engaged in relevant research. It helps graduate students majoring in electronics and information sciences to gain an understanding in dynamically-enabled cyber defense. Scientists and engineers specialising in network security research should also find this book to be a useful guide on recent developments in network security.

GENRE
Computer und Internet
ERSCHIENEN
2021
8. Juni
SPRACHE
EN
Englisch
UMFANG
388
Seiten
VERLAG
World Scientific Publishing Company
ANBIETERINFO
Lightning Source Inc Ingram DV LLC
GRÖSSE
21,1
 MB
Moving Target Defense Moving Target Defense
2011
Intelligent Security Systems Intelligent Security Systems
2021
Research in Attacks, Intrusions, and Defenses Research in Attacks, Intrusions, and Defenses
2015
Detection of Intrusions and Malware, and Vulnerability Assessment Detection of Intrusions and Malware, and Vulnerability Assessment
2009
Research in Attacks, Intrusions, and Defenses Research in Attacks, Intrusions, and Defenses
2016
Research in Attacks, Intrusions, and Defenses Research in Attacks, Intrusions, and Defenses
2017
Deep Learning and Convolutional Neural Networks for Medical Image Computing Deep Learning and Convolutional Neural Networks for Medical Image Computing
2017
Flood Resources Utilization in the Yangtze River Basin Flood Resources Utilization in the Yangtze River Basin
2020
Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics
2019