The anomaly detection problem has been widely studied in the computer security literature.
In this paper we present a machine learning approach to anomaly detection. Our system …

After a decade of research into the area of artificial immune systems, it is worthwhile to take
a step back and reflect on the contributions that the paradigm has brought to the application …

Immunity by Design: An Artificial Immune System Page 1 Immunity by Design: An Artificial
Immune System Steven A. Hofmeyr and Stephanie Forrest Dept. of Computer Science University …

Natural immune systems provide a rich source ofinspiration for computer security in the age
of the Internet. Immune systems have many features that are desirable for the im-perfect …

The ubiquity of the Internet connection to desktops has been both a boon to business as well
as a cause for concern for the security of digital assets that may be unknowingly exposed …

Since the computer viruses pose a serious problem to individual and corporative computer
systems, a lot of effort has been dedicated to study how to avoid their deleterious actions …

Cyber-attack detection is used to identify cyber-attacks while they are acting on a computer
and network system to compromise the security (eg, availability, integrity, and confidentiality) …

This dissertation explores an immunological model of distributed detection, called negative
detection, and studies its performance in the domain of intrusion detection on computer …

Abstract Integrated Network-Based Ohio University Network Detective Service (INBOUNDS)
is a network based intrusion detection system being developed at Ohio University. The …

A common method to localize defects is to compare the coverage of passing and failing
program runs: A method executed only in failing runs, for instance, is likely to point to the …