During the past decade, there were many approaches that made use of the concepts of artificial immune system. By reviewing the literature, it was found that the research on the artificial immune memory design was sparse and only a few researchers attempted to embark upon issues related to it. This proposed research introduces a novel model that serves as an artificial memory for the artificial ...

One of the widely used methods for classification that is a decision-making process is artificial immune systems. Artificial immune systems based on natural immunity system can be successfully applied for classification, optimization, recognition, and learning in real-world problems. In this study, a reinforcement learning based artificial immune classifier is proposed as a new approach. This a...

An artificial immune system (AIS) is a computer software system that mimics some parts of the behavior of the human immune system to protect computer networks from viruses and similar cyber attacks. Artificial immune system is a computer software system that mimics some parts of the behavior of the human immune system to protect computer networks from viruses and similar cyber attacks. The esse...

This paper presents a novel vehicle detection approach based on artificial immune principle. The approach is to build an artificial immune system for vehicle detection from high resolution satellite imagery, where vehicles mimic dangerous antigens and vehicle detection templates mimic antibodies. The artificial immune system uses the antibody network concept inspired from the immune system to l...

This work presents the Web Classifying Immune System (WCIS) which is a prototype system to detect zero-day attacks against web servers by examining web server requests. WCIS is intended to work in conjunction with more traditional intrusion detection systems to detect new and emerging threats that are not detected by the traditional IDS database. WCIS is at its core an artificial immune system,...

Our group, composed of researchers from the University of Nottingham, University College London, the University of the West of England, HewlettPackard Labs, Bristol, and developers of the Firestorm intrusion detection system, is currently engaged in the initial stages of designing and implementing a biologically-inspired anomaly-based intrusion detection system. The system, which we have called...

learning mechanism for robots based on the natural immune system. Most of the research carried out so far are based either on the innate or adaptive characteristics of the immune system, we present a combination of these to achieve behavior arbitration wherein a robot learns to detect vulnerable areas of a track and adapts to the required speed over such portions. The test bed comprises of two ...