Figure 1: (a) Environment for testing the consensus-making algorithm based on immune networks. Figure 2: Immunized computational system structure. BCS corresponds to the base-line computational system (representing an average behavior of the uncertain system), and CCS corresponds to the changeable computational system (representing the variable region of the antibody and epitope equivalents). F...

Network security attacks have a dynamical performance and their rate of change is commonly faster than protection technologies. The defense mechanisms usually act with reactive non proactive solutions in a non-self learning procedure. However, bio-inspired methods such as AIS could give a new dynamical method to defend entire data network from malicious attacks. This short paper briefly analyze...

A Hadamard representation, which is an alternative towards the binary representation, is considered in this study. It operates on numbers +1 and −1. Several properties of such defined representation were pointed out and properties of the immune system were expressed based on this representation.

Malicious software infects large numbers of computers around the world. Once compromised, the computers become part of a botnet and take part in many forms of criminal activity, including the sending of unsolicited commercial email or spam. As mobile devices become tightly integrated with the Internet, associated threats such as botnets have begun to migrate onto the devices. This paper describ...

The current computer forensics approaches mainly focus on the network actions capture and analysis the evidences after attacks, which always result in the static methods. Inspired by the theory of artificial immune systems (AIS), a novel model of Computer Forensics System is presented. The concepts and formal definitions of immune cells are given, and dynamically evaluative equations for self, ...

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A machine-learning algorithm based on the natural immune system metaphor has been developed, AINE (Artificial Immune Network). AINE developed from initial work on Artificial Immune Systems for data analysis, for which detailed experimentation was undertaken as to the affect of altering algorithm parameters had on the behaviour of the system. Two of the parameters, the network affinity threshold...

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 significant degree of success as a branch of Computational Intelligence since it emerged in the 1990s. This paper surveys the major vailable online 30 October 2010