An adaptive network traffic prediction approach for LDoS attacks detection

[1]  Cheng Soon Ong,et al.  Multivariate spearman's ρ for aggregating ranks using copulas , 2016 .

[2]  Hongke Zhang,et al.  Modeling denial‐of‐service against pending interest table in named data networking , 2014, Int. J. Commun. Syst..

[3]  Wanlei Zhou,et al.  Low-Rate DDoS Attacks Detection and Traceback by Using New Information Metrics , 2011, IEEE Transactions on Information Forensics and Security.

[4]  Zhijun Wu,et al.  Low-Rate DoS Attacks Detection Based on Network Multifractal , 2016, IEEE Transactions on Dependable and Secure Computing.

[5]  Mehmet Simsek.  A new metric for flow-level filtering of low-rate DDoS attacks , 2015, Secur. Commun. Networks.

[6]  Wu Zhijun,et al.  MSABMS-based approach of detecting LDoS attack , 2012 .

[7]  F. Diebold,et al.  Comparing Predictive Accuracy , 1994, Business Cycles.

[8]  Bernhard Schölkopf,et al.  New Support Vector Algorithms , 2000, Neural Computation.

[9]  Jie Xu,et al.  On a Mathematical Model for Low-Rate Shrew DDoS , 2014, IEEE Transactions on Information Forensics and Security.

[10]  Lynda Mokdad,et al.  Recursive‐clustering‐based approach for denial of service (DoS) attacks in wireless sensors networks , 2015, Int. J. Commun. Syst..

[11]  Srinivas Peeta,et al.  Multiple measures-based chaotic time series for traffic flow prediction based on Bayesian theory , 2016, Nonlinear Dynamics.

[12]  Jiusheng Chen,et al.  An adaptive KPCA approach for detecting LDoS attack , 2017, Int. J. Commun. Syst..

[13]  Rosario Giuseppe Garroppo,et al.  Energy efficiency and traffic offloading in wireless mesh networks with delay bounds , 2017, Int. J. Commun. Syst..

[14]  Weifeng Chen,et al.  Flow level detection and filtering of low-rate DDoS , 2012, Comput. Networks.

[15]  Zhijun Wu,et al.  Flow-oriented detection of low-rate denial of service attacks , 2016, Int. J. Commun. Syst..

[16]  Chih-Jen Lin,et al.  LIBSVM: A library for support vector machines , 2011, TIST.

[17]  Kilian Q. Weinberger,et al.  Unsupervised Learning of Image Manifolds by Semidefinite Programming , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

[18]  Ke Xie,et al.  SEDP-based detection of low-rate DoS attacks , 2015, Int. J. Commun. Syst..

[19]  Xiapu Luo,et al.  Modeling the Vulnerability of Feedback-Control Based Internet Services to Low-Rate DoS Attacks , 2014, IEEE Transactions on Information Forensics and Security.

[20]  Kai Hwang,et al.  Collaborative detection and filtering of shrew DDoS attacks using spectral analysis , 2006, J. Parallel Distributed Comput..