Efficient Clustering of Software Vulnerabilities using Self Organizing Map (SOM)-Reference-Cited by-同舟云学术

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Efficient Clustering of Software Vulnerabilities using Self Organizing Map (SOM)

Published:2022-11-14 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Symposium on Technologies for Homeland Security (HST)
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Author:

Panchal Khyati¹,Das Siddhartha Shankar²,De La Torre Luis¹,Miller John¹,Rallo Robert³,Halappanavar Mahantesh³

Affiliation:

1. Washington State University

2. Purdue University

3. Pacific Northwest National Lab.

Funder

U.S. Department of Energy (DOE)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10025403/10024978/10025443.pdf?arnumber=10025443

Reference7 articles.

1. Towards Practical Cybersecurity Mapping of STRIDE and CWE — a Multi-perspective Approach

2. Attention is all you need;vaswani;Advances in Neural Information Processing Systems (NIPS,2017

3. V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabilities

4. SOM++: Integration of Self-Organizing Map and K-Means++ Algorithms

5. Siamese neural networks: An overview;chicco;Artificial Neural Networks,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Survey of Cybersecurity Knowledge Base and Its Automatic Labeling;Communications in Computer and Information Science;2024

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