Deep Learning Techniques In Internet Of Things (Iot) Security

Document Type : Primary Research paper


1 ME- Scholar, Department Of CSE, Kumaraguru College Of Technology, Coimbatore

2 Professor, Department Of CSE, Kumaraguru College Of Technology, Coimbatore


Iot Integrates Many Devices With Less Human Involvement That Can
Communicate With One Another. With This Feature Iot Improves The Reliability In
Various Applications Such As Healthcare, Smart Agriculture, Home Security, Industries,
Smart Cities, Etc., However The Nature Of Iot Infrastructure And The Components
Involved In The Deployment Provides New Security Issues. The Prior Security Measures
Like Encryption, Access Control Are Ineffective In Detecting The Attacks. Therefore The
Previous Security Mechanism Has To Be Enhanced In Order To Provide A Secure Iot
Environment. The Advancement Of Deep Learning Approach Presents The Embedded
Intelligence In Iot That Solve The Several Security Issues. This Paper Presents The Survey
On Various Deep Learning Approaches For Securing The Iot Devices From Various
Attacks. In Addition The Advantages And Disadvantages Of These Methods Are Also
Discussed That Serve As The Scope For Further Studies.


Volume 12, Issue 3 - Serial Number 3
ICMMNT-2021 International Virtual Conference on Materials, Manufacturing and Nanotechnology, 30th June, 2021.
June 2021
Pages 1453-1459