Artificial immune system (AIS) as a good prototype for developing Machine Learning (ML) is
a promising candidate to design Intrusion Detection System (IDS). Two of its prevalent
paradigms, the negative selection, and the danger theory, inspired by immunity responses of
the powerful human immune system (HIS) are being widely used in this case. In this paper,
we proposed a novel sophisticated hybrid method including two defensive lines by using
two aforesaid mechanisms. In the proposed method, decentralized cooperation of dendritic …

Anomaly Detection is one of the significant and complex problems in computer networks
security. Artifical Immune Systems are among the novel methods which have been mostly
used by researchers in recent years. This System is a good prototype to develop Machine
Learning techniques, and it can be a proper candidate for designing the next generation of
intrusion detection systems owing to its many potentials.