Artificial Neural Network for the Internet of Things Security

Artificial Neural Network for the Internet of Things Security

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2020 by IJETT Journal
Volume-68 Issue-11
Year of Publication : 2020
Authors : Amit Sagu, Nasib Singh Gill, Preeti Gulia
DOI :  10.14445/22315381/IJETT-V68I11P218

Citation 

MLA Style: Amit Sagu, Nasib Singh Gill, Preeti Gulia  "Artificial Neural Network for the Internet of Things Security" International Journal of Engineering Trends and Technology 68.11(2020):129-136. 

APA Style:Amit Sagu, Nasib Singh Gill, Preeti Gulia. Artificial Neural Network for the Internet of Things Security  International Journal of Engineering Trends and Technology, 68(11),129-136.

Abstract
The Internet of Things (IoT) defines billions of devices that are tied to each other and sharing data via the internet or wireless network. IoT makes available the environment, including home, offices, and vehicles, smarter. With mounting the recognition of IoT, security challenges are growing too. IoT sensors assemble and share classified data, which means to be shielded from unlawful contact. For securing the IoT environment, numerous traditional approaches are being used. Some are lightweight encryption, create a separate connection for IoT devices, or defend against known spoofing identities. An innovative approach to secure IoT environment is employing Artificial Neural Network (ANN) [1], a machine learning model. ANN is a mimic of a biological neural network, which is an information processing model. It can be employed in the intrusion detection system between the IoT environment and outer network; it can also overpower traditional security methods.

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Keywords
IoT, Machine Learning, Artificial Neural Network.