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pro vyhledávání: '"Matteo Lucantonio"'
Autor:
Valeria Cardellini, Emiliano Casalicchio, Stefano Iannucci, Matteo Lucantonio, Sudip Mittal, Damodar Panigrahi, Andrea Silvi
Publikováno v:
SoftwareX, Vol 19, Iss , Pp 101120- (2022)
Intrusion Response is a relatively new field of research. Recent approaches for the creation of Intrusion Response Systems (IRSs) use Reinforcement Learning (RL) as a primary technique for the optimal or near-optimal selection of the proper counterme
Externí odkaz:
https://doaj.org/article/23cc89287b8c40f4bfce1aa421fa8e8b
Autor:
Valeria Cardellini, Emiliano Casalicchio, Stefano Iannucci, Matteo Lucantonio, Sudip Mittal, Damodar Panigrahi, Andrea Silvi
Publikováno v:
SSRN Electronic Journal.
Intrusion Response is a relatively new field of research. Recent approaches for the creation of Intrusion Response Systems (IRSs) use Reinforcement Learning (RL) as a primary technique for the optimal or near-optimal selection of the proper counterme
Publikováno v:
2021 IEEE Symposium Series on Computational Intelligence (SSCI).
Intrusion Response is a relatively new field of research. Several model-based techniques have been proposed that range from static mapping to complex stateful approaches. However, the main limitation that all of them have in common is that they do no