SAC-AP: Soft Actor Critic based Deep Reinforcement Learning for Alert Prioritization. (arXiv:2207.13666v3 [cs.CR] UPDATED)

Intrusion detection systems (IDS) generate a large number of false alerts
which makes it difficult to inspect true positives. Hence, alert prioritization
plays a crucial role in deciding which alerts to investigate from an enormous
number of alerts that are generated by IDS. Recently, deep reinforcement
learning (DRL) based deep deterministic policy gradient (DDPG) off-policy
method has shown to achieve better results for alert prioritization as compared
to other state-of-the-art methods. However, DDPG is prone to the problem of
overfitting. …

actor alert sac