A knowledge-based inference system for software vulnerabilities
124 p.
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2014
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Online Access: | http://hdl.handle.net/10356/57397 |
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sg-ntu-dr.10356-573972023-03-04T00:33:12Z A knowledge-based inference system for software vulnerabilities Deepak Subramanian Loh Kok Keong, Peter School of Computer Engineering DRNTU::Engineering::Computer science and engineering 124 p. Vulnerability detection and diagnosis goes hand-in-hand with an effective remediation process as part of a dependable software security framework. This thesis describes the design of a proposed system model for targeted remediation of vulnerabilities and their variants. This thesis describes a methodology for calibrating the scanners and vulnerabilities, describes effective metrics to detect the confidence of presence or absence, introduces the concept of relationship between vulnerabilities and produces a model to compute the appropriate remediation based on the various remediation metrics and the remediation-mapping model. Master of Engineering (SCE) 2014-04-07T10:25:06Z 2014-04-07T10:25:06Z 2011 2011 Thesis http://hdl.handle.net/10356/57397 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Computer science and engineering Deepak Subramanian A knowledge-based inference system for software vulnerabilities |
description |
124 p. |
author2 |
Loh Kok Keong, Peter |
author_facet |
Loh Kok Keong, Peter Deepak Subramanian |
format |
Theses and Dissertations |
author |
Deepak Subramanian |
author_sort |
Deepak Subramanian |
title |
A knowledge-based inference system for software vulnerabilities |
title_short |
A knowledge-based inference system for software vulnerabilities |
title_full |
A knowledge-based inference system for software vulnerabilities |
title_fullStr |
A knowledge-based inference system for software vulnerabilities |
title_full_unstemmed |
A knowledge-based inference system for software vulnerabilities |
title_sort |
knowledge-based inference system for software vulnerabilities |
publishDate |
2014 |
url |
http://hdl.handle.net/10356/57397 |
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1759853527264395264 |