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[HTML][HTML] Artificial intelligence for cybersecurity: Literature review and future research directions
Artificial intelligence (AI) is a powerful technology that helps cybersecurity teams automate
repetitive tasks, accelerate threat detection and response, and improve the accuracy of their …
repetitive tasks, accelerate threat detection and response, and improve the accuracy of their …
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 …
AIBugHunter: A Practical tool for predicting, classifying and repairing software vulnerabilities
Abstract Many Machine Learning (ML)-based approaches have been proposed to
automatically detect, localize, and repair software vulnerabilities. While ML-based methods …
automatically detect, localize, and repair software vulnerabilities. While ML-based methods …
Enhancing security in cloud computing using artificial intelligence (AI)
Cloud computing (CC) technologies (viz artificial intelligence (AI), data science,
blockchain,“big data”(BD), etc.) are progressively widespread and practically applied …
blockchain,“big data”(BD), etc.) are progressively widespread and practically applied …
Automated event extraction of CVE descriptions
Context: The dramatically increasing number of vulnerabilities makes manual vulnerability
analysis increasingly more difficult. Automatic extraction of vulnerability information can help …
analysis increasingly more difficult. Automatic extraction of vulnerability information can help …