Extreme Gradient Boosting-based Vulnerability Predictions for Wearable IoT Devices: With illustrated approach

Wearable devices in IoT era can be termed as precocious technology, which can revolutionize the way people interact with machines, the environment, and other people. The driving forces behind wearable device growth include easy connectivity, low-cost solutions, and a variety of android applications. A variety of easily connected applications is increasing and more and more users are adding day by day. The users are ranging from a novice user class to tech savvy individuals. On the other hand, a shadow army of internet crooks is always in search of open targets and vulnerabilities in the new domain of cyberspace coined as Internet of Thing. Lifestyle health care and entertainment businesses are looking for harnessing the new goldmine of multi-billion-dollar industry. In this research, our objective is to classify the trusted and untrusted systems using Extreme Gradient Boosting-based Vulnerability Predictions. Furthermore, this research will assist in efficient implementations of masking- based AES encryption for IoT devices.