1
ME- Scholar, Department Of CSE, Kumaraguru College Of Technology, Coimbatore
2
Professor, Department Of CSE, Kumaraguru College Of Technology, Coimbatore
Abstract
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.
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