A framework for anomaly detection and classification in Multiple IoT scenarios

Volume: 114, Pages: 322 - 335
Published: Jan 1, 2021
Abstract
The investigation of anomalies is an important element in many scientific research fields. In recent years, this activity has been also extended to social networking and social internetworking, where different networks interact with each other. In these research fields, we have recently witnessed an important evolution because, beside networks of people, networks of things are becoming increasingly common. IoT and Multiple IoT scenarios are thus...
Paper Details
Title
A framework for anomaly detection and classification in Multiple IoT scenarios
Published Date
Jan 1, 2021
Volume
114
Pages
322 - 335
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