Trend Micro Inc.

Zhonglin Liu

Daniel Cheng

Patrick Shi

Jeff Jiang

Disclosed are a system and method for detecting an unauthorized Internet of things (IoT) device in a private computer network. Packets of network traffic are collected in the private computer network. An IoT packet is identified from among the collected packets. IoT data is extracted from the IoT packet and encrypted. The encrypted IoT data is transmitted to an artificial neural network in the cloud over the public Internet. The artificial neural network infers, based on the encrypted IoT data, a device type of an IoT device that transmitted the IoT packet in the private computer network. The IoT device is detected to be unauthorized in response to detecting that the device type of the IoT device is not a recognized IoT device type in the private computer network.

Growing community of inventors

Nanjing, China

Zhonglin Liu