19th AIAI 2023, 14 - 17 June 2023, León, Spain

Self-protection of IoT gateways against breakdowns and failures enabling automated sensing and control

Alexios Papaioannou, Asimina Dimara, Iakovos Michailidis, Aliki Stefanopoulou, Georgios Karatzinis, Stelios Krinidis, Christos-Nikolaos Anagnostopoulos, Elias Kosmatopoulos, Dimosthenis Ioannidis, Dimitrios Tzovaras


  Smart home IoT technologies have provided a new level of overall degrees of control freedom over modern homes. The core of such a system is an edge device. In this paper, a CNN-based LSTM-Autoencoder method is presented to detect anomaly points in five critical operating parameters of an edge device while managing its perpetual operation. This proposed method is based on a hybrid model using 1D-CNN layers in the encoder layer and LSTM layers in the decoder layer. Experiments were conducted using real data from Raspberry Pi devices. Compared to other state-of-the-art methods, the proposed approach had a remarkable accuracy close to 0.996 and an execution time of 312 msec.  

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