http://localhost:8080/xmlui/handle/123456789/2736 2026-06-23T06:19:06Z http://localhost:8080/xmlui/handle/123456789/2737 Title: DEVICE DISCOVERY AND CLASSIFICATION FOR INTERNET OF THINGS Authors: Priyadarshini; Taware, A .V. Abstract: Internet of Things allows everything around the world to connect to Internet .These include devices such as thermostats, utility meters, headset with blue tooth enabled, irrigation pumps, sensors or control circuits for electric car engine. It connects things embedded with sensors like devices, appliances and machines to the Internet and allows these things to communicate and exchange data. The number of connected device on IOT will be huge .By the year 2020 it is predicted that the number of devices connected to the Internet will be around 50 billion. There exist a vast diversity of the things being connected to Internet .Each device has its unique rules and standards for communication. It would become difficult for any application to integrate a new device as well as in case of any security threat in network it would be difficult to identify the device which causes the suspicious traffic, In order to solve the above problem there exist a need to automatically discover, detect and perform classification of device that are communicating inside the network. 2018-03-01T00:00:00Z