Lingyu Wang, Sushil Jajodia, Anoop Singhal

Network Security Metrics (eBook, PDF)

• Format: PDF

Produktbeschreibung

Reviews a range of network security models that focus on combining individual metric scores obtained from standard scoring systems, such as CVSS, into an overall measure of network security.

Devotes several chapters on network security metrics specifically designed with zero day attacks in mind

Discusses various applications of network security metrics, ranging from network attack graph analytics to performance evaluation for security operation centers.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 207
• Erscheinungstermin: 15. November 2017
• Englisch
• ISBN-13: 9783319665054
• Artikelnr.: 53061036

Autorenporträt

The authors of this book conducted several research initiatives in the area of computer security, privacy and cyber forensics. The content reported is the result of a 4-year research project on the aspect oriented security hardening of UML design models and is based on a fruitful collaboration between Concordia University and Ericsson under a research partnership program of the Canadian Natural Sciences and Engineering Research Council (NSERC).

Inhaltsangabe

1 Measuring the Overall Network Security by Combining CVSS Scores Based on Attack Graphs and Bayesian Networks.- 2 Refining CVSS-based network security metrics by examining the base scores.- 3 Security Risk Analysis of Enterprise Networks Using Probabilistic Attack Graphs.- 4 k-Zero day safety: Evaluating the resilience of networks against unknown attacks.- 5 Using Bayesian Networks to Fuse Intrusion Evidences and Detect Zero-day Attack Paths.- 6 Evaluating the network diversity of networks against zero-day attacks.- 7 Metrics suite for network attack graph analytics.- 8 A Novel Metric for Measuring Operational Effectiveness of a Cybersecurity Operations Center.