Covariance-Matrix Modeling and Detecting Various Flooding Attacks

@article{Yeung2007CovarianceMatrixMA,
  title={Covariance-Matrix Modeling and Detecting Various Flooding Attacks},
  author={Daniel S. Yeung and Shuyuan Jin and Xizhao Wang},
  journal={IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans},
  year={2007},
  volume={37},
  pages={157-169}
}
This paper presents a covariance-matrix modeling and detection approach to detecting various flooding attacks. Based on the investigation of correlativity changes of monitored network features during flooding attacks, this paper employs statistical covariance matrices to build a norm profile of normal activities in information systems and directly utilizes the changes of covariance matrices to detect various flooding attacks. The classification boundary is constrained by a threshold matrix… CONTINUE READING
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