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  1. Proceedings of the 2007 ACM workshop on Quality of protection (QoP '07)
  2. Improving vulnerability discovery models
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Effect of static analysis tools on software security: preliminary investigation
An algorithm for the appraisal of assurance indicators for complex business processes
Implementing and testing dynamic timeout adjustment as a dos counter-measure
AMBRA: automated model-based risk analysis
Model-based assurance of security controls
Measuring up: how to keep security metrics useful and realistic
Improving vulnerability discovery models
Towards a taxonomy for information security metrics
Defining categories to select representative attack test-cases
Toward measuring network security using attack graphs
A technique for self-certifying tamper resistant software
Quantitative software security risk assessment model
Program obfuscation: a quantitative approach

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Improving vulnerability discovery models

Content Provider ACM Digital Library
Author Ozment, Andy
Abstract Security researchers are applying software reliability models to vulnerability data, in an attempt to model the vulnerability discovery process. I show that most current work on these vulnerability discovery models (VDMs) is theoretically unsound. I propose a standard set of definitions relevant to measuring characteristics of vulnerabilities and their discovery process. I then describe the theoretical requirements of VDMs and highlight the shortcomings of existing work, particularly the assumption that vulnerability discovery is an independent process.
Starting Page 6
Ending Page 11
Page Count 6
File Format PDF
ISBN 9781595938855
DOI 10.1145/1314257.1314261
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2007-10-29
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Measuring vulnerabilities Vulnerability discovery model Security metrics Measuring software security
Content Type Text
Resource Type Article
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