A new approach, based on the k-Nearest Neighbor (kNN) classifier, is used to classify
program behavior as normal or intrusive. Program behavior, in turn, is represented by …

Unlike signature or misuse based intrusion detection techniques, anomaly detection is
capable of detecting novel attacks. However, the use of anomaly detection in practice is …

Intrusion detection complements prevention mechanisms, such as firewalls, cryptography,
and authentication, to capture intrusions into an information system while they are acting on …

With increased global interconnectivity and reliance on e-commerce, network services and
Internet communication, computer security has become a necessity. Organizations must …

The immune system is a remarkable and complex natural system, which has been shown to
be of interest to computer scientists and engineers alike. This paper reports an on-going …

Computer Immunology Page 1 Computer Immunology by Lyanne Wai-Yin Lau Supervised by
Daniel Bradley A thesis submitted to The Department of Information Technology and Electrical …

There are a lot of industrial applications that can be solved competitively by hard computing,
while still requiring the tolerance for imprecision and uncertainty that can be exploited by soft …

This paper presents a new tool for supervised learning, modeled on resource limited
Artificial Immune Systems. A supervised learning system, it is self-regulatory, efficient, and …

Intrusion detection complements intrusion prevention mechanisms, such as firewalls,
cryptography, and authentication, to capture intrusions into an information system while they …

This thesis focuses on the combination of a set of artificial immune algorithms and their
application to intrusion detection. Three evolutionary algorithms are investigated, each …