Wireless Traffic Analysis Based Side-channel Attacks and Countermeasure in Smart Home
Yan Meng, Haojin Zhu · 2023
Smart home technology is a rapidly growing field that involves the intelligent integration of various sensors and devices to automate home functions such as appliances, lighting, heating and cooling systems, and security and safety systems. Our study centers around the issue of side-channel inference on the wireless traffic within smart home networks. We demonstrate that by exploiting side-channel information present in the wireless traffic, it is possible to deduce the device type and identify the smart apps deployed on the network using a state machine matching approach. To address this security concern, we propose a countermeasure scheme. This scheme involves injecting spoofing traffic, which effectively obfuscates the traffic patterns of smart home applications, thereby thwarting inference attacks.