We discuss the combination of two anomaly detection models, the Linux kernel module pH and cfengine, in order to create a multi-scaled approach to computer anomaly detection with automated response. By examining the time-average data from pH, we find the two systems to be conceptually complementary and to have compatible data models. Based on these findings, we build a simple prototype system and comment on how the same model could be extended to include other anomaly detection mechanisms.
['Kyrre M. Begnum', 'Mark Burgess']
A scaled, immunological approach to anomaly countermeasures: combining pH with cfengine