An adaptive KPCA approach for detecting LDoS attack
- 2 June 2015
- journal article
- research article
- Published by Wiley in International Journal of Communication Systems
- Vol. 30 (4), e2993
- https://doi.org/10.1002/dac.2993
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (61170328, U1333116, U1433103)
- Natural Science Foundation of Tianjin City (12JCZDJC20900)
This publication has 14 references indexed in Scilit:
- Flow-oriented detection of low-rate denial of service attacksInternational Journal of Communication Systems, 2014
- SEDP‐based detection of low‐rate DoS attacksInternational Journal of Communication Systems, 2014
- Recursive‐clustering‐based approach for denial of service (DoS) attacks in wireless sensors networksInternational Journal of Communication Systems, 2013
- Modeling denial‐of‐service against pending interest table in named data networkingInternational Journal of Communication Systems, 2013
- Collaborative detection and filtering of shrew DDoS attacks using spectral analysisJournal of Parallel and Distributed Computing, 2006
- Fault detection and identification of nonlinear processes based on kernel PCAChemometrics and Intelligent Laboratory Systems, 2005
- Nonlinear process monitoring using kernel principal component analysisChemical Engineering Science, 2004
- Low-rate TCP-targeted denial of service attacksPublished by Association for Computing Machinery (ACM) ,2003
- An introduction to kernel-based learning algorithmsIEEE Transactions on Neural Networks, 2001
- Nonlinear Component Analysis as a Kernel Eigenvalue ProblemNeural Computation, 1998