For the last two decades, artificial immune systems have been studied in various fields of
knowledge. They were shown to be particularly effective tools at detecting anomalous …

The remarkable ability to separate and identify self and non-self in a given problem space,
makes negative selection a fascinating concept of artificial immune system. Therefore …

(57) ABSTRACT A real-time approach for detecting aberrant modes of System behavior
induced by abnormal and unauthorized System activities that are indicative of an intrusive …

An artificial immune system (ARTIS) is described which incorporates many properties of
natural immune systems, including diversity, distributed computation, error tolerance …

Decline curve analyses (DCA) and rate transient analyses (RTA) are widely used to
characterize the fluid flow through porous media and forecast future production. Oil and gas …

This paper studies a simplified form of LISYS, an artificial immune system for network
intrusion detection. The paper describes results based on a new, more controlled data set …

Internet of Things expands the boundaries of the Internet to encompass many devices with
constraint computational and power capabilities. This limits the implementation of security …

A negative selection algorithm generates detectors to realize abnormality detection by
simulating the maturation process of T cells in human immunity. Holes are areas of feature …

Detecting anomaly in a system or a process behavior is very important in many real-world
applications such as manufacturing, monitoring, signal processing etc. This chapter presents …

This paper examines some of the theoretical foundations of the distributable change
detection method introduced by S. Forrest et al.(1994), including fundamental bounds on …