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https://hdl.handle.net/10356/57397
Title: | A knowledge-based inference system for software vulnerabilities | Authors: | Deepak Subramanian | Keywords: | DRNTU::Engineering::Computer science and engineering | Issue Date: | 2011 | Abstract: | 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. | Description: | 124 p. | URI: | http://hdl.handle.net/10356/57397 | Schools: | School of Computer Engineering | Rights: | Nanyang Technological University | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | SCSE Theses |
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File | Description | Size | Format | |
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SCE THESES_2.pdf Restricted Access | 12.55 MB | Adobe PDF | View/Open |
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