1. Wang Peng, Song Yanhong, Li Songjiang, Yang Huaming, Qiu Ningjia. 2017. Detection method for abnormal user of social network based on behavior characteristics. Journal of Computer Applications. (December.2017), 219--224.
2. Xu Bing, Guo Yuanbo, Ye Ziwei, Hu Yongjin. 2018. Abnormal User detection in enterprise network based on graph analysis and support vector machine. Journal of Computer Applications. (February. 2018), 357--362.
3. Chen Hongsong, Wang Gang, Song Jianlin.2018. Research on Anomaly Behavior Classification Algorithm of Internal Network User Based on Cloud Computing Intrusion Detection Data Set. Netinfo Security, (March.2018). 1--7.
4. Li Haibing, Li Qi, Tang ruming, et al. 2018. User Behavior Anomaly Detection for Database Based on Unsupervised Learning. Journal of Chinese Computer Systems. (November. 2018). 2464--2472.
5. Yang Xiaohui, Guo Binghui, Mi Zhilong, Zheng Zhiming. 2019. Identification algorithm of high breaching risk member for Internet financial platform. http://www.arocmag.com/article/02-2019-03-025.html