Author(s) :

N.R.Vikram1 , K.Divya2, P.Prakash3 , S.Keerthika4 ,R.Manoj Kumar5.

Volume/Issue :

Abstract :

One quickly developing technology is the Internet of Things (IoT). Billions of smart objects (called "Things") have the ability to gather information about their surroundings and themselves because of a multitude of sensors. Thus, they could enhance commercial services and activities or control and oversee industrial services. But today more than ever, the Internet of Things is susceptible. The field of machine learning (ML) has made great strides, opening up new research directions to address present and future Internet of Things problems. However, machine learning is a useful technique for spotting danger in networks and intelligent devices. This study will evaluate multiple machine learning algorithms for threat detection and the various security measures related to machine learning techniques after a comprehensive literature review on machine learning methods and the need for IoT security.

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