Fault detection has been an active research field and increasingly important for the safety of
technical processes and systems. A variety of fault detection methods have been developed …

Abstract The Artificial Immune System (AIS) is a powerful information processing system in
adaptability, distribution, self-regulation, and decentralization control in computer networks …

The negative selection algorithm is an anomaly detection technique inspired by the self-
nonself discrimination behavior observed in the Biological Immune System. The most …

In this paper, the challenging task of the development of a generic fault detection (FD)
method is addressed. While the past FD research has primarily focused on modeling and …

Negative Representation of Information (NRI) is an emerging topic that is primarily inspired
by the self-nonself discrimination paradigm of the biological immune system, and it is mainly …

The negative selection algorithm (NSA) is an important detector generation algorithm for
artificial immune systems. In high-dimensional space, antigens (data samples) distribute …

Negative selection algorithm (NSA) is an important detector generation algorithm of artificial
immune system (AIS). Traditional NSAs randomly generate detectors in the whole antigen …

In Databases, the most prevalent cause of data breaches comes from insiders who misuse
their account privileges. Due to the difficulty of discovering such breaches, an adaptive …

Negative selection algorithm (NSA) is an important detectors training algorithm in artificial
immune system (AIS). In NSAs, the self radius and location of detectors affect the …

One of the most important artificial immune algorithms is negative selection algorithm, which
is an anomaly detection and pattern recognition technique; however, recent research has …