Game Theoretic Modeling of Insider Threats in an Organization
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-61489-7_12
Reference15 articles.
1. Al-Shehari, T., Alsowail, R.A.: An insider data leakage detection using one-hot encoding, synthetic minority oversampling and machine learning techniques. Entropy 23(10), 1258 (2021)
2. AlSlaiman, M., Salman, M.I., Saleh, M.M., Wang, B.: Enhancing false negative and positive rates for efficient insider threat detection. Comput. Secur. 126, 103066 (2023)
3. Amiri-Zarandi, M., Karimipour, H., Dara, R.A.: A federated and explainable approach for insider threat detection in IoT. Internet Things 24, 100965 (2023)
4. d’Ambrosio, N., Perrone, G., Romano, S.P.: Including insider threats into risk management through Bayesian threat graph networks. Comput. Secur. 133, 103410 (2023)
5. Elmrabit, N., Yang, S.H., Yang, L., Zhou, H.: Insider threat risk prediction based on Bayesian network. Comput. Secur. 96, 101908 (2020)
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