Tsinghua University

Jiahai Yang

Zhiliang Wang

Hui Zhang

Lin He

Long Pan

Guanglei Song

Chenxin Duan

A method for detecting a traffic anomaly of Internet of Things (IoT) device based on automata. The method includes: collecting normal traffic of an IoT device to be monitored in each working state, and deriving normal traffic traces; generating flow trees by assembling each flow in the normal traffic traces, and generating joint flow trees by merging the flow trees; and converting a data structure representing the flow in the joint flow trees into automata models after performing reduction processing on the flow in the joint flow trees.

Method and apparatus for detecting anomaly of traffic of internet of things device based on automata

A method for detecting an IPv6 aliased prefix based on fragmented fingerprint includes: generating a plurality of pseudo random addresses in a target prefix space; determining the target prefix as an active prefix; and determining that the plurality of the pseudo random addresses and the active prefix are configured on the same host, so as to identify the active prefix as the aliased prefix. This method may effectively discover a network host, reduce the cost of network detection, and provide more effective data support for network measurement, network surveying and mapping and security research.

Method and device for detecting IPv6 aliased prefix based on fragmented fingerprint

Growing community of inventors

Beijing, China

Jiahai Yang