Dynamic Vulnerability Classification for Enhanced Cyber Situational Awareness-Reference-Cited by-同舟云学术

Dynamic Vulnerability Classification for Enhanced Cyber Situational Awareness

Published:2023-04-17 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Systems Conference (SysCon)
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Author:

Malik Adeel A.¹,Tosh Deepak K.¹

Affiliation:

1. University of Texas at El Paso,Department of Computer Science,El Paso,Texas,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10131045/10131046/10131235.pdf?arnumber=10131235

Reference38 articles.

1. A Deep Learning Approach for Classifying Vulnerability Descriptions Using Self Attention Based Neural Network

2. A Machine Learning Approach for Vulnerability Curation

3. Towards the detection of inconsistencies in public security vulnerability reports;dong;28th USENIX Security Symposium (USENIX Security 19),2019

4. Automated vulnerability detection in source code using deep representation learning;rebecca;2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA),2018

5. Predicting Vulnerability Type in Common Vulnerabilities and Exposures (CVE) Database with Machine Learning Classifiers

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2. State-of-the-Art in Cyber Situational Awareness: A Comprehensive Review and Analysis;KSII Transactions on Internet and Information Systems;2024-05-31

3. Critical Vulnerable Nodes Discovery Based on Bayesian Attack Subgraphs and Double Thresholds;2023 China Automation Congress (CAC);2023-11-17