Proposal of a General Model for Creation of Anomaly Detection Systems in IoT Infrastructures

The inclusion of IoT in our platforms is very common nowadays, however, it is necessary to be able to monitor its proper functioning and correction to avoid harmful effects on the systems that are supplied with the data. For the development of systems that allow the detection of anomalies—ADS, it is necessary to use proposals that systematize the construction of such systems, but in this case, focused on IoT and the underlying problematic as metadata redundant, inadequate formats for the treatment and generation of algorithms, need for preprocessing or the need to change the structure of the data. This work proposes an ADS model that characterizes and choreographs a series of processes, sub-processes, stages and activities involved in the generation of this type of systems. To validate the proposal, the creation of an ADS using the model has been instantiated for the Smart University platform of the University of Alicante.