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Learning Intrusion Prevention Policies through Optimal Stopping

Learning Intrusion Prevention Policies through Optimal Stopping

14 June 2021
K. Hammar
Rolf Stadler
ArXivPDFHTML

Papers citing "Learning Intrusion Prevention Policies through Optimal Stopping"

5 / 5 papers shown
Title
NASimEmu: Network Attack Simulator & Emulator for Training Agents
  Generalizing to Novel Scenarios
NASimEmu: Network Attack Simulator & Emulator for Training Agents Generalizing to Novel Scenarios
Jaromír Janisch
Tomávs Pevný
Viliam Lisý
18
13
0
26 May 2023
Learning Near-Optimal Intrusion Responses Against Dynamic Attackers
Learning Near-Optimal Intrusion Responses Against Dynamic Attackers
K. Hammar
Rolf Stadler
AAML
32
12
0
11 Jan 2023
Learning Security Strategies through Game Play and Optimal Stopping
Learning Security Strategies through Game Play and Optimal Stopping
K. Hammar
Rolf Stadler
AAML
21
10
0
29 May 2022
A System for Interactive Examination of Learned Security Policies
A System for Interactive Examination of Learned Security Policies
K. Hammar
Rolf Stadler
11
5
0
03 Apr 2022
Intrusion Prevention through Optimal Stopping
Intrusion Prevention through Optimal Stopping
K. Hammar
Rolf Stadler
13
22
0
30 Oct 2021
1