Chameleon: towards adaptive honeypot for internet of things

Nowadays, more and more Internet of Things (IoT) devices are exposed to the Internet and face increasing threats. These devices always have low computing resources and have no antivirus installed. Honeypot is widely used to collect and predict potential threats. Traditional honeypots are designed for a specific device, however, cannot work well for the large amount and even emerging diverse IoT devices. We propose Chameleon, an adaptive honeypot for diverse IoT devices. Given a target IoT device, Chameleon forwards the received network traffic to the target device while ensuring the security. Chameleon stores the requests and responses from the interaction with the target device for further requests. Then Chameleon generates appropriate responses to avoid being fingerprinted by attackers. We deploy Chameleon to simulate different IoT devices. The evaluation results show that Chameleon can simulate most of the IoT devices while passing the state-of-the-art honeypot fingerprinting tools.