Towards an Improved Understanding of Software Vulnerability Assessment Using Data-Driven Approaches
July 24, 2022 Β· Declared Dead Β· π arXiv.org
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Authors
Triet H. M. Le
arXiv ID
2207.11708
Category
cs.SE: Software Engineering
Cross-listed
cs.CR,
cs.LG
Citations
1
Venue
arXiv.org
Last Checked
5 months ago
Abstract
The thesis advances the field of software security by providing knowledge and automation support for software vulnerability assessment using data-driven approaches. Software vulnerability assessment provides important and multifaceted information to prevent and mitigate dangerous cyber-attacks in the wild. The key contributions include a systematisation of knowledge, along with a suite of novel data-driven techniques and practical recommendations for researchers and practitioners in the area. The thesis results help improve the understanding and inform the practice of assessing ever-increasing vulnerabilities in real-world software systems. This in turn enables more thorough and timely fixing prioritisation and planning of these critical security issues.
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