Anomaly Detection in Encrypted Identity Resolution Traffic based on Machine Learning - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Zhishen Zhu, Hao Zhou, Qingya Yang, Chonghua Wang, Zhen Li. Anomaly Detection in Encrypted Identity Resolution Traffic based on Machine Learning. In 22nd IEEE International Conference on Software Quality, Reliability and Security, QRS 2022, Guangzhou, China, December 5-9, 2022. pages 264-275, IEEE, 2022. [doi]

The following publications are possibly variants of this publication:

A Machine Learning Framework for Real-Time Traffic Density DetectionJing Chen, Evan Tan, Zhidong Li. ijprai, 23(7):1265-1284, 2009. [doi]

Automatic detection of anomalies in blood glucose using a machine learning approachYing Zhu. iri 2010: 92-97 [doi]

runs on WebDSL