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Anomaly Detection

This project works for HTTP data to detect unknown type anomaly IPs.

File "sp" is bash file for running the whole program. The .m files in ./matlabsrc/ are refined by SpEagle method, adapting to imbalanced data. Pay attention that this matlab program need parallel computing toolbox. The .py files in ./pythonsrc/ are python files used in preprocessing. These codes are debugged in Anaconda, and they need scikit-learn and networkx package.

Created by Yunsong Zhong.

E-mail: 15yszhong@tongji.edu.cn

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Anomaly detection code for 360 HTTP and TCP flow data.

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