Constructing the Model of an Information System for the Automatization of Penetration Testing
Author:
Publisher
Allerton Press
Subject
Signal Processing,Control and Systems Engineering,Software
Link
https://link.springer.com/content/pdf/10.3103/S0146411621080216.pdf
Reference9 articles.
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2. Sutton, R.S. and Barto, A.G., Reinforcement Learning: An Introduction, Cambridge, Mass.: MIT Press, 1998, 2nd ed.
3. Kalinin, M.O., Lavrova, D.S., and Yarmak, A.V., Detection of threats in cyberphysical systems based on deep learning methods using multidimensional time series, Autom. Control Comput. Sci., 2018, vol. 52, no. 8, pp. 912–917. https://doi.org/10.3103/S0146411618080151
4. Pavlenko, E. and Zegzhda, D., Homeostatic approach to assessing digital manufacturing security, SHS Web Conf., 2018, vol. 44, p. 00066. https://doi.org/10.1051/shsconf/20184400066
5. Zegzhda, D.P., Kalinin, M.O., and Levykin, M.V., Actual vulnerabilities of industrial automation protocols of an open platform communications series, Autom. Control Comput. Sci., 2019, vol. 53, no. 8, pp. 972–979. https://doi.org/10.3103/S0146411619080339
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