  The immune system provides an ideal metaphor for anomaly detection in general
and computer security in particular. Based on this idea, artificial immune
systems have been used for a number of years for intrusion detection,
unfortunately so far with little success. However, these previous systems were
largely based on immunological theory from the 1970s and 1980s and over the
last decade our understanding of immunological processes has vastly improved.
In this paper we present two new immune inspired algorithms based on the latest
immunological discoveries, such as the behaviour of Dendritic Cells. The
resultant algorithms are applied to real world intrusion problems and show
encouraging results. Overall, we believe there is a bright future for these
next generation artificial immune algorithms.
