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Detection of Unauthorized IoT Devices Using Machine Learning Techniques
  • Tabinda Shehzadi,
  • Lee Kasowaki,
  • Miles Kingerberg
Tabinda Shehzadi

Corresponding Author:[email protected]

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Lee Kasowaki
University of Washington
Miles Kingerberg
University of Washington

Abstract

Security experts have demonstrated numerous risks imposed by Internet of Things (IoT) devices on organizations. Due to the widespread adoption of such devices, their diversity, standardization obstacles, and inherent mobility, organizations require an intelligent mechanism capable of automatically detecting suspicious IoT devices connected to their networks.