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Predicting Vulnerability Exploits in the Wild
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-11379-1_21openalex-snapshot
Some Vulnerabilities Are Different Than Others
inferredcites →https://doi.org/10.1145/1162666.1162671openalex-snapshot
Large-scale vulnerability analysis
inferredcites →https://doi.org/10.1145/2382416.2382427openalex-snapshot
A preliminary analysis of vulnerability scores for attacks in wild
inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-snapshot
Scikit-learn: Machine Learning in Python
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-03638-6_21openalex-snapshot
Data Modelling for Predicting Exploits
inferred← citeshttps://doi.org/10.1007/978-3-030-58951-6_11openalex-snapshot
Follow the Blue Bird: A Study on Threat Data Published on Twitter
inferred← citeshttps://doi.org/10.1007/978-3-030-65745-1_1openalex-snapshot
Data Analytics of Crowdsourced Resources for Cybersecurity Intelligence
inferred← citeshttps://doi.org/10.1007/978-3-030-87872-6_20openalex-snapshot
A Survey on the State of the Art of Vulnerability Assessment Techniques
inferred← citeshttps://doi.org/10.1007/978-3-031-09640-2_17openalex-snapshot
Cybersecurity Applications in Software: Data-Driven Software Vulnerability Assessment and Management
inferred← citeshttps://doi.org/10.1007/978-3-031-29504-1_3openalex-snapshot
Evaluating the Future Device Security Risk Indicator for Hundreds of IoT Devices
inferred← citeshttps://doi.org/10.1007/978-3-031-40395-8_13openalex-snapshot
Emphasizing the Relationship between Scans and Exploits Events’ Data: An Exploratory Data Analysis Over Time
inferred← citeshttps://doi.org/10.1007/978-3-031-76934-4_19openalex-snapshot
Beneath the Cream: Unveiling Relevant Information Points from CrimeBB with Its Ground Truth Labels
inferred← citeshttps://doi.org/10.1007/978-3-031-89350-6_32openalex-snapshot
Automated Assessment of the Exploits Using Deep Learning Methods
inferred← citeshttps://doi.org/10.1007/s11280-021-00909-zopenalex-snapshot
Vulnerability exploitation time prediction: an integrated framework for dynamic imbalanced learning
inferred← citeshttps://doi.org/10.1007/s13278-019-0603-9openalex-snapshot
Mining user interaction patterns in the darkweb to predict enterprise cyber incidents
inferred← citeshttps://doi.org/10.1016/j.jnca.2021.103210openalex-snapshot
A selective ensemble model for cognitive cybersecurity analysis
inferred← citeshttps://doi.org/10.1016/j.knosys.2020.106529openalex-snapshot
Apply transfer learning to cybersecurity: Predicting exploitability of vulnerabilities by description
inferred← citeshttps://doi.org/10.1063/5.0134560openalex-snapshot
Risk-ranking matrix for security patching of exploitable vulnerabilities
inferred← citeshttps://doi.org/10.1109/access.2017.2771470openalex-snapshot
Machine Learning-Based Malicious Application Detection of Android
inferred← citeshttps://doi.org/10.1109/access.2026.3651857openalex-snapshot
Predicting Affected Docker Images From Emerging Vulnerabilities With a Tripartite Graph
inferred← citeshttps://doi.org/10.1109/cloudnet62863.2024.10815757openalex-snapshot
A Statistical Approach to Severity Aware Vulnerability Prioritization
inferred← citeshttps://doi.org/10.1109/icit.2016.7474819openalex-snapshot
Security attack prediction based on user sentiment analysis of Twitter data
inferred← citeshttps://doi.org/10.1109/icsccc69031.2026.11600340openalex-snapshot
LLM-Powered Framework for Real-World Exploit Prediction
inferred← citeshttps://doi.org/10.1109/ictc58733.2023.10393244openalex-snapshot
Inferring Discussion Topics about Exploitation of Vulnerabilities from Underground Hacking Forums
inferred← citeshttps://doi.org/10.1109/msr.2019.00063openalex-snapshot
Automated Software Vulnerability Assessment with Concept Drift
inferred← citeshttps://doi.org/10.1109/tase52547.2021.00014openalex-snapshot
A Character-Level Convolutional Neural Network for Predicting Exploitability of Vulnerability
inferred← citeshttps://doi.org/10.1109/tnsm.2021.3133811openalex-snapshot
LICALITY—Likelihood and Criticality: Vulnerability Risk Prioritization Through Logical Reasoning and Deep Learning
inferred← citeshttps://doi.org/10.1109/wincom65874.2025.11313442openalex-snapshot
Toward Dynamic Risk Assessment: Machine Learning and LLMs in Software Vulnerability Prioritization
inferred← citeshttps://doi.org/10.1145/2872518.2889294openalex-snapshot
Temporal Analytics for Predictive Cyber Threat Intelligence
inferred← citeshttps://doi.org/10.1145/3145574.3145590openalex-snapshot
Predicting Cyber Threats through Hacker Social Networks in Darkweb and Deepweb Forums
inferred← citeshttps://doi.org/10.1145/3338501.3357365openalex-snapshot
Risk Prioritization by Leveraging Latent Vulnerability Features in a Contested Environment
inferred← citeshttps://doi.org/10.1145/3436242openalex-snapshot
Exploit Prediction Scoring System (EPSS)
inferred← citeshttps://doi.org/10.1145/3510360openalex-snapshot
Risk Prediction of IoT Devices Based on Vulnerability Analysis
inferred← citeshttps://doi.org/10.1145/3529757openalex-snapshot
A Survey on Data-driven Software Vulnerability Assessment and Prioritization
inferred← citeshttps://doi.org/10.1145/3674805.3686674openalex-snapshot
Mitigating Data Imbalance for Software Vulnerability Assessment: Does Data Augmentation Help?
inferred← citeshttps://doi.org/10.1145/3697090.3699868openalex-snapshot
Automated Severity Driven Patch Management
inferred← citeshttps://doi.org/10.1145/3724133openalex-snapshot
A Novel Vulnerability Exploit Prediction System Using the Relational Vulnerability-Vendor Network
inferred← citeshttps://doi.org/10.1371/journal.pone.0228439openalex-snapshot
FastEmbed: Predicting vulnerability exploitation possibility based on ensemble machine learning algorithm
inferred← citeshttps://doi.org/10.24251/hicss.2019.864openalex-snapshot
Detecting Cyber Security Vulnerabilities through Reactive Programming
inferred← citeshttps://doi.org/10.26483/ijarcs.v9i2.5866openalex-snapshot
ACCURACY IN BINARY, TERNARY AND MULTI-CLASS CLASSIFICATION SENTIMENTAL ANALYSIS-A SURVEY
inferred← citeshttps://doi.org/10.3390/app13095700openalex-snapshot
Exploring the Frontiers of Cybersecurity Behavior: A Systematic Review of Studies and Theories
inferred← citeshttps://doi.org/10.3390/app132212180openalex-snapshot
Vulnerability Exploitation Risk Assessment Based on Offensive Security Approach
inferred← citeshttps://doi.org/10.3390/app14209231openalex-snapshot
Helping CNAs Generate CVSS Scores Faster and More Confidently Using XAI
inferred← citeshttps://doi.org/10.3390/fi17030104openalex-snapshot
Assessing Browser Security: A Detailed Study Based on CVE Metrics
inferred← citeshttps://doi.org/10.3390/s21124220openalex-snapshot
An Improved Vulnerability Exploitation Prediction Model with Novel Cost Function and Custom Trained Word Vector Embedding
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