Anomaly Detection in Smart Environments using AI over Fog and Cloud Computing
Diego A. B. Moreira, Humberto P. Marques, Wanderson L. Costa, Joaquim Celestino, Rafael L. Gomes, Michele Nogueira
Abstract
Modern society claims for smart environments (SEs) to make efficient the management of infrastructures, resources, and services. However, SEs comprise numerous heterogeneous devices and follow different protocols, making it harder to detect network anomalous behavior. Hence, this paper proposes ISAD, an intelligent system for network anomaly detection in SE managing Fog and Cloud computing approaches, improving the data processing and traffic exchange of the system. The system evaluation takes as workload a real network traffic, deploying locally the Fog environment and using Microsoft Azure platform as Cloud. Results show that the system detects network anomalies with an accuracy of 96%.