Securing the wireless environment of IoT
Fanzeng Xia, Huancheng Song, Chunting Xu · 2018 IEEE International Conference of Safety Produce Informatization (IICSPI) · 2018
The Internet of Things (IoT) is a new technology paradigm envisioned as a global network of machines and devices capable of interacting with each other, it represents diverse applications and advanced technology [1]. The number of devices connected to the Internet is increasing rapidly. Everything in the home that uses electricity can be connected to the home WiFi network and upload the processed data at your command. With increasing deployments of insecure WiFi-connected devices in the home, an attacker can illegitimately gather data about clients or remotely control the IoT devices; Therefore, security has been a significant issue in smart home applications. As machine learning and artificial intelligence can be used for protection of devices by analyzing traffic or devices behavior, the following sections propose a concept of increasing of security of wireless environment for IoT appliance through creating a fingerprint by Machine Learning algorithm.