{"id":27137215,"url":"https://github.com/ekletony/cybervuln-ml","last_synced_at":"2025-10-18T12:59:08.011Z","repository":{"id":183778541,"uuid":"670741532","full_name":"EkleTony/CyberVuln-ML","owner":"EkleTony","description":"Machine Learning-based Categorization of Cybersecurity Vulnerabilities - IEEE UEMCON 2024","archived":false,"fork":false,"pushed_at":"2025-03-13T17:52:24.000Z","size":13586,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-13T18:39:13.233Z","etag":null,"topics":["cves","cybersecurity","machine-learning","nlp","vulnerability-detection"],"latest_commit_sha":null,"homepage":"https://ieeexplore.ieee.org/abstract/document/10754709","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/EkleTony.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-07-25T18:19:24.000Z","updated_at":"2025-03-13T17:52:28.000Z","dependencies_parsed_at":"2023-10-03T06:19:39.415Z","dependency_job_id":null,"html_url":"https://github.com/EkleTony/CyberVuln-ML","commit_stats":null,"previous_names":["ekletony/ml-categorization-of-cybersecurity-vulnerabilities-in-softwares-readme.md"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EkleTony%2FCyberVuln-ML","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EkleTony%2FCyberVuln-ML/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EkleTony%2FCyberVuln-ML/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EkleTony%2FCyberVuln-ML/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/EkleTony","download_url":"https://codeload.github.com/EkleTony/CyberVuln-ML/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247773740,"owners_count":20993633,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["cves","cybersecurity","machine-learning","nlp","vulnerability-detection"],"created_at":"2025-04-08T03:55:08.224Z","updated_at":"2025-10-18T12:59:02.962Z","avatar_url":"https://github.com/EkleTony.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Machine Learning-based: Enhanced Categorization of Cybersecurity Vulnerabilities\n\n[![GitHub license](https://img.shields.io/badge/License-MIT-blue.svg)](https://github.com/your-username/your-repo-name/blob/main/LICENSE)  \n[![Paper](https://img.shields.io/badge/Paper-PDF-red.svg)](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10754709)  \n[![Poster](https://img.shields.io/badge/Poster-PDF-orange.svg)](https://scholar.google.com/citations?view_op=view_citation\u0026hl=en\u0026user=fk1n8VQAAAAJ\u0026citation_for_view=fk1n8VQAAAAJ:qjMakFHDy7sC)\n\nThis repository contains the code, datasets, and results of our research on **Machine Learning-based categorization of cybersecurity vulnerabilities in software**, published at **2024 IEEE UEMCON**. The project was also awarded **Best Research Poster** at Tennessee Tech’s Annual Research Conference.\n\n## Table of Contents\n- [Overview](#overview)\n- [Research Paper \u0026 Poster](#research-paper--poster)\n- [Installation](#installation)\n- [Usage](#usage)\n- [License](#license)\n- [Contact](#contact)\n\n## Overview\nSoftware vulnerabilities pose security risks, and traditional classification methods can be slow and error-prone. This project utilizes **Machine Learning** to automate and improve the categorization of cybersecurity vulnerabilities.\n\n## Research Paper \u0026 Poster\n- **Paper:** [IEEE UEMCON 2024](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10754709)  \n- **Poster:** [Tennessee Tech Research Conference](https://scholar.google.com/citations?view_op=view_citation\u0026hl=en\u0026user=fk1n8VQAAAAJ\u0026citation_for_view=fk1n8VQAAAAJ:qjMakFHDy7sC)\n\n## Installation\nFollow these steps to set up the project:\n```bash\n# Clone the repository\ngit clone https://github.com/EkleTony/CyberVuln-ML.git\n\n# Navigate to the project directory\ncd ML-CVE-Categorization\n\n# Install required dependencies\npip install -r requirements.txt\n```\n\n### Requirements\nThe following dependencies are required to run the project:\n- Python 3.x\n- Jupyter Notebook\n- NumPy\n- Pandas\n- Scikit-learn\n- TensorFlow\n- Torch\n- Matplotlib\n- Seaborn\n- NLTK\n- TQDM\n- WordNetLemmatizer (NLTK)\n- IMBlearn (SMOTE)\n- OS\n- RE (Regular Expressions)\n- String\n\nEnsure the dataset is placed in the correct directory before running the notebooks.\n\n## Usage\nRun the Jupyter Notebook using:\n```bash\njupyter notebook JupyterNote_CVE_Prediction_Code.ipynb\n```\n\n## License\nThis project is licensed under the **MIT License**. You are free to use, modify, and distribute the dataset and code with proper attribution. However, if using this dataset in academic or research work, please **cite the following paper**:\n\n```\n@inproceedings{ekle2024enhanced,\n  title={Enhanced Categorization of Cybersecurity Vulnerabilities},\n  author={Ekle, Ocheme Anthony and Ulybyshev, Denis},\n  booktitle={2024 IEEE 15th Annual Ubiquitous Computing, Electronics \\\u0026 Mobile Communication Conference (UEMCON)},\n  pages={800--806},\n  year={2024},\n  organization={IEEE}\n}\n```\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fekletony%2Fcybervuln-ml","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fekletony%2Fcybervuln-ml","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fekletony%2Fcybervuln-ml/lists"}