Vulnerability Detection in Open Source Software: The Cure and the Cause

Stuart Millar

Vulnerability Detection in Open Source Software: The Cure and the Cause

Stuart Millar

School of Electronics, Electrical Engineering and Computer Science

Research output: Book/Report › Other report

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Abstract

Most companies do not have a reliable way of being notified when zero-day vulnerabilities are found, or when patches are made available. This means that attack vectors in Open Source Software (OSS) exist longer than they should. This paper discusses the cause of OSS vulnerabilities, why they are a major issue, and how they may be mitigated.

Original language	English
Publisher	Queen's University Belfast
Number of pages	5
Publication status	Unpublished - 2017

Keywords

Open Source
Information Security
Vulnerability Profiling
static analysis
dynamic analysis
software assurance
machine le

ASJC Scopus subject areas

Computer Science (miscellaneous)
Computer Science Applications
Software

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Vulnerability Detection in Open Source Software: The Cure and the Cause
Copyright the author 2017.
Final published version, 582 KBLicence: Unspecified

Multi-view convolutional neural networks for cybersecurity applications
Millar, S. (Author), Martinez del Rincon, J. (Supervisor) & Miller, P. (Supervisor), Jul 2022
Student thesis: Doctoral Thesis › Doctor of Philosophy

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Cite this

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KW - Open Source

KW - Information Security

KW - Vulnerability Profiling

KW - static analysis

KW - dynamic analysis

KW - software assurance

KW - machine le

M3 - Other report

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Vulnerability Detection in Open Source Software: The Cure and the Cause

Abstract

Keywords

ASJC Scopus subject areas

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Student theses

Multi-view convolutional neural networks for cybersecurity applications

Cite this