… in a non-cooperative zero-sum game setting. System … fuzzy logic and Q-Learning-based
Intrusion Prevention System (IPS) protection. This system consists of fuzzy logic and Q-Learning …

… intrusion detection … Cooperative game theory focuses on how much people can appropriate
given the value each coalition of players can provide, whereas non-cooperative game theory …

… The effective utilization of different game theoretic methods with … executes a Game theory
with Fuzzy q-leARning based iDs (… -cooperative game theory and the fuzzy q-learning algorithm …

… as intrusion detection that can be applied to traditional networks. If a security system that
requires lots of computing resources is adopted, it will affect the normal operation of the system …

… Some of the IDS also respond to the intrusion, which is a necessary … methods that we will
address in this paper and attempt to solve with the proposed off-policy Q-learning intrusion …

… In this paper, a Bayesian Game theory and Deep Q-learning … In [13], a game-theory based
intrusion detection framework … framework-enabled collaborative intrusion detection for pro…

… The coalition game theory approach has been applied with … game approach, where the
intruder will maliciously intrude in … a convergence secrecy rate by cooperative gaming [6]. The …

… to as an intruder, which is supposed to reach the target. Several … cooperative strategy to
navigate the pursuers. In addition, a … A comparison between the fuzzy Q-learning (FQL) and the …

… Cooperative Games By using the term cooperative, we mean to … other frequently encountered
game theory approaches. … A Bayesian game theory and deep Q-learning network-based …

… data to them The central intrusion detection system (IDS) will be … the fuzzy Q-learning method
along with a game-theoretic … : A recurring game theory approach to preventing dos attacks …