A Survey of Traffic Obfuscation Technology for Smart Home

With the proliferation of smart home, the research on the attack and protection methods of smart home privacy has gradually increased. Research has shown that adversaries can infer users' privacy information by analyzing smart home traffic traces. To address this problem, we investigated and summarized the existing smart home traffic obfuscation schemes. Firstly, the current situation that smart home privacy is easy to be leaked through traffic is explained. The necessity of smart home privacy data protection and challenges faced are expounded. Then, the smart home traffic obfuscation technologies are classified and summarized, including data packet filling, traffic shaping, false traffic injection, user simulation and adversarial learning. The limitations and application scenarios are analyzed. Finally, the paper holds the view that the smart home traffic obfuscation technology based on user simulation and adversarial learning is the direction with great development potential.