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A survey on data-driven software vulnerability assessment and prioritization
Software Vulnerabilities (SVs) are increasing in complexity and scale, posing great security
risks to many software systems. Given the limited resources in practice, SV assessment and …
risks to many software systems. Given the limited resources in practice, SV assessment and …
[HTML][HTML] Just-in-time software vulnerability detection: Are we there yet?
Background: Software vulnerabilities are weaknesses in source code that might be exploited
to cause harm or loss. Previous work has proposed a number of automated machine …
to cause harm or loss. Previous work has proposed a number of automated machine …
Enhancing Vulnerability prioritization: Data-driven exploit predictions with community-driven insights
The number of disclosed vulnerabilities has been steadily increasing over the years. At the
same time, organizations face significant challenges patching their systems, leading to a …
same time, organizations face significant challenges patching their systems, leading to a …
Machine learning techniques for software vulnerability prediction: a comparative study
Software vulnerabilities represent a major cause of security problems. Various vulnerability
discovery models (VDMs) attempt to model the rate at which the vulnerabilities are …
discovery models (VDMs) attempt to model the rate at which the vulnerabilities are …
Security vulnerabilities in healthcare: an analysis of medical devices and software
The integration of IoT in healthcare has introduced vulnerabilities in medical devices and
software, posing risks to patient safety and system integrity. This study aims to bridge the …
software, posing risks to patient safety and system integrity. This study aims to bridge the …
Trending or not? Predictive analysis for youtube videos
The internet has brought about significant transformations in communication and human
behaviour. It has revolutionised how people connect, express themselves, and socialise …
behaviour. It has revolutionised how people connect, express themselves, and socialise …
Risk-based reliability assessment and testing stop time based software system modeling
Purpose The ideology of this article is to study the performance concerns of SDN
Controllers, with the help of developed SRGM and thereby obtain its optimal testing …
Controllers, with the help of developed SRGM and thereby obtain its optimal testing …
Exploitation of vulnerabilities: a topic-based machine learning framework for explaining and predicting exploitation
Security vulnerabilities constitute one of the most important weaknesses of hardware and
software security that can cause severe damage to systems, applications, and users. As a …
software security that can cause severe damage to systems, applications, and users. As a …
A Systematic Literature Review on Software Vulnerability Prediction Models
The prediction of software vulnerability requires crucial awareness during the software
specification, design, development, and configuration to achieve less vulnerable and secure …
specification, design, development, and configuration to achieve less vulnerable and secure …
Early and Realistic Exploitability Prediction of Just-Disclosed Software Vulnerabilities: How Reliable Can It Be?
With the rate of discovered and disclosed vulnerabilities escalating, researchers have been
experimenting with machine learning to predict whether a vulnerability will be exploited …
experimenting with machine learning to predict whether a vulnerability will be exploited …