VPnet: A Vulnerability Prioritization Approach Using Pointer Network and Deep Reinforcement Learning

Author:

Sheng Zhoushi,Yu Bo,Liang Chen,Zhang Yongyi

Publisher

Springer Nature Switzerland

Reference24 articles.

1. Ahmadi, V., Arlos, P., Casalicchio, E.: Normalization of severity rating for automated context-aware vulnerability risk management. In: 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C), pp. 200–205. IEEE (2020)

2. Bello, I., Pham, H., Le, Q.V., Norouzi, M., Bengio, S.: Neural combinatorial optimization with reinforcement learning. arXiv preprint arXiv:1611.09940 (2016)

3. Blank, R.M.: Guide for conducting risk assessments (2011)

4. Caruana, R., Niculescu-Mizil, A.: An empirical comparison of supervised learning algorithms. In: Proceedings of the 23rd International Conference on Machine Learning, pp. 161–168 (2006)

5. Delve Security: Ai-driven vulnerability management solution (2020). https://www.secureworks.com/products/taegis/vdr. Accessed 07 Jul 2020

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