Threat Detection of Internet of Things Based on Machine Learning
Xinghao Fu · 2023
The research on threat detection of the Internet of Things based on machine learning aims to find out effective ways or methods that can be used to detect threats and vulnerabilities in Internet of Things devices. This research will help add security features to IoT devices. The main goal of this research is to detect any type of malicious activities that hackers and other network criminals use intelligent gadgets, appliances, etc. The main motivation behind this project is to improve users' trust in Internet of Things devices. This will also help them control their privacy by preventing unauthorized access, which is achieved through such attacks, and provide more secure information sharing between different entities involved in the IoT system. Therefore, if all interested parties can rely on such algorithms, it is to protect our network from any type of network attacks and malicious activities.