Multiclass Classification of Software Vulnerabilities with Deep Learning
Abstract
References
Index Terms
- Multiclass Classification of Software Vulnerabilities with Deep Learning
Recommendations
A Deep Learning Approach for Classifying Vulnerability Descriptions Using Self Attention Based Neural Network
AbstractCyber threat intelligence (CTI) refers to essential knowledge used by organizations to prevent or mitigate against cyber attacks. Vulnerability databases such as CVE and NVD are crucial to cyber threat intelligence, but also provide information ...
Unveiling vulnerabilities in deep learning-based malware detection: Differential privacy driven adversarial attacks
AbstractThe exponential increase of Android malware creates a severe threat, motivating the development of machine learning and especially deep learning-based classifiers to detect and mitigate malicious applications. However, these classifiers are ...
An automatic vulnerability classification framework based on BiGRU-TextCNN
AbstractCommon Vulnerabilities and Exposures (CVE) records known vulnerabilities and provides standardized descriptions. By utilizing Common Weakness Enumeration (CWE) to classify vulnerabilities, it can provide richer background knowledge and more ...
Comments
Information & Contributors
Information
Published In
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Funding Sources
Conference
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 281Total Downloads
- Downloads (Last 12 months)251
- Downloads (Last 6 weeks)28
Other Metrics
Citations
View Options
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML FormatLogin options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in