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Detection of Unauthorized IoT Devices Using Machine Learning Techniques
  • Shafiq Hussain,
  • Hudaa Gull
Shafiq Hussain

Corresponding Author:shafiq.hussain@cgc.edu.pk

Author Profile
Hudaa Gull

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.