A Cybersecurity Procedure to Vulnerabilities Classification of Windows OS Based on Feature Selection and Machine Learning
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-62871-9_18
Reference20 articles.
1. Chernis, B., Verma, R.: Machine learning methods for software vulnerability detection. In: Proceedings of the Fourth ACM International Workshop on Security and Privacy Analytics, pp. 31–39. ACM, New York, NY, USA (2018). https://doi.org/10.1145/3180445.3180453
2. Tahir, T., et al.: Early software defects density prediction: training the international software benchmarking cross projects data using supervised learning. IEEE Access 11, 141965–141986 (2023). https://doi.org/10.1109/ACCESS.2023.3339994
3. Bharadiya, J.: Machine learning in cybersecurity: techniques and challenges. Eur. J. Technol. 7, 1–14 (2023). https://doi.org/10.47672/ejt.1486
4. Kim, L.: Cybersecurity: Ensuring Confidentiality, Integrity, and Availability of Information. Presented at the (2022). https://doi.org/10.1007/978-3-030-91237-6_26
5. Yesiltepe, M., Jamil, A., Rasheed, J., Kurulay, M.: Hexadecimal hash value hiding in a message in web service against deep learning. In: 2019 11th International Conference on Electrical and Electronics Engineering (ELECO), pp. 693–697. IEEE (2019). https://doi.org/10.23919/ELECO47770.2019.8990576
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