The immune system is a remarkable information processing and self learning system that
offers inspiration to build artificial immune system (AIS). The field of AIS has obtained a …

Advanced Persistent Threats (APTs) have been a major challenge in securing both
Information Technology (IT) and Operational Technology (OT) systems. Due to their …

This report aims to bring the state-of-the-art of artificial immune systems (AISs) and the
literature review during the last five years, presenting some Immune-based methods, their …

Nowadays, detecting and filtering are still the most feasible ways of fighting spam emails.
There are many reasonably successful spam email filters in operation. However, proactively …

For the last decade it has become commonplace to evaluate machine learning techniques
for network based intrusion detection on the KDD Cup'99 data set. This data set has served …

The performance of negative selection algorithm (NSA) is affected by several parameters
such as its self radius and expected coverage. Traditionally, most of the parameters are …

Clonal selection principle based CLONALG is one of the most popular artificial immune
system (AIS) models. It has been proposed to perform pattern matching and optimization …

Negative selection algorithms are important for artificial immune systems to produce
detectors. But there are problems such as high time complexity, large number of detectors, a …

Important Note: The field of Artificial Immune Systems (AIS) is becoming more popular and
AIS-based works spanning from theoretical modeling and simulation to wide variety of …

With the increasing network attacks worldwide, intrusion detection (ID) has become a hot
research topic in last decade. Technologies such as neural networks and fuzzy logic have …