RDA – Artificial Immune System (AIS) for Anomaly Detection

by Pete Scully PhD (UK), posted in code/science

The Receptor Density Algorithm (RDA) is an Artificial Immune System (AIS) anomaly detection algorithm modelled upon how T-cell receptors respond to antigen, originally modelled by Owens et al in 2009. A recent small project has been to investigate its applicability as an AIS anomaly classifier for our CARDINAL-Vanilla AIS self-healing architecture.

Github repo | Version 0.1 implementation of RDA in python 2.7.

Published by Pete Scully PhD (UK)

In my free time I write on research tech & science. Past work highlights range from Self-Healing Cyber Security, SCADA Network Security, a dabble in Cybernetics to Phenotypic 3d Reconstruction Light Stages, Genomic Feature Selection to IoT for Zombies and more..

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