Artificial Immune Systems bear two complementary radical insights for building immune properties into technical systems: AIS algorithms, which have proved their efficiency for anomaly detection, and what we call Artificial Immune Ecosystems, i.e. distributed architectures capable of decentralised sensing, analysis and reactions to these anomalies. In this paper, we propose the AWA model for Artificial aWareness Architecture, which aims at standardising the infrastructure of Artificial Immune Ecosystems. The AWA model specifies the physical and logical architecture of Artificial Immune Ecosystems, as well as a set of data formats for anomaly information transfer between the different levels of the ecosystem. Very promissing experimentations are conducted within the CASAN IoT Platform through a focused implementation on local detection and distributed analysis features of the AWA model.
