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Filtern nach: Committee Member Liu, Huaping Decade 2020-2029 Ressourcentyp Masters Thesis

Network Traffic-Driven Hybrid Learning for Classifying Seen and Unseen IoT Device Types

Schöpfer:

Bao, Jiaqi

Abstract:

IoT networks can be viewed as collections of Internet-enabled physical devices and objects, embedded with sensor, actuator, computation, storage and communication components, that are capable of connecting and exchanging data to one another. In recent years, organizations have allowed more and more IoT devices to be connected to their networks,...

Resource Type:

Masters Thesis