Please use this identifier to cite or link to this item: 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
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Theses

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