Fr. 69.00

Quantitative Security Risk Assessment of Enterprise Networks

English · Paperback / Softback

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Description

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Protection of enterprise networks from malicious intrusions is critical to the economy and security of our nation. This article gives an overview of the techniques and challenges for security risk analysis of enterprise networks. A standard model for security analysis will enable us to answer questions such as "are we more secure than yesterday" or "how does the security of one network configuration compare with another one". In this article, we will present a methodology for quantitative security risk analysis that is based on the model of attack graphs and the Common Vulnerability Scoring System (CVSS). Our techniques analyze all attack paths through a network, for an attacker to reach certain goal(s).

List of contents

The Need for Quantifying Security.- Attack Graph Techniques.- The Common Vulnerability Scoring System (CVSS).- Security Risk Analysis of Enterprise Networks Using Attack Graphs.- Conclusion.

Summary

Protection of enterprise networks from malicious intrusions is critical to the economy and security of our nation. This article gives an overview of the techniques and challenges for security risk analysis of enterprise networks. A standard model for security analysis will enable us to answer questions such as “are we more secure than yesterday” or “how does the security of one network configuration compare with another one”. In this article, we will present a methodology for quantitative security risk analysis that is based on the model of attack graphs and the Common Vulnerability Scoring System (CVSS). Our techniques analyze all attack paths through a network, for an attacker to reach certain goal(s).

Product details

Authors Xinmin Ou, Xinming Ou, Anoop Singhal
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 31.08.2011
 
EAN 9781461418597
ISBN 978-1-4614-1859-7
No. of pages 28
Weight 86 g
Illustrations XIII, 28 p.
Series SpringerBriefs in Computer Science
SpringerBriefs in Computer Science
Subject Natural sciences, medicine, IT, technology > IT, data processing > IT

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