RDA – Artificial Immune System (AIS) for Anomaly Detection

January 2, 2016June 5, 2020 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)

I work & write on Research, Technology & Science. Past highlights range from 3D Reconstruction Light Stages for Phenotypic Mappings, Self-Healing Cyber Security, SCADA Network Security, Cybernetics & Behaviour Research, Genomic Feature Selection, IoT Apps for Zombies, PyCon, Data Analytics, Software Arch, Software Eng and Business Projects. Feel free to Email/DM me anytime. View all posts by Pete Scully PhD (UK)