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AAAI
2008
13 years 7 months ago
In-the-Dark Network Traffic Classification Using Support Vector Machines
This work addresses the problem of in-the-dark traffic classification for TCP sessions, an important problem in network management. An innovative use of support vector machines (S...
William H. Turkett Jr., Andrew V. Karode, Errin W....
ISF
2010
164views more  ISF 2010»
13 years 2 months ago
An SVM-based machine learning method for accurate internet traffic classification
Accurate and timely traffic classification is critical in network security monitoring and traffic engineering. Traditional methods based on port numbers and protocols have proven t...
Ruixi Yuan, Zhu Li, Xiaohong Guan, Li Xu
VLDB
2007
ACM
164views Database» more  VLDB 2007»
14 years 5 months ago
A new intrusion detection system using support vector machines and hierarchical clustering
Whenever an intrusion occurs, the security and value of a computer system is compromised. Network-based attacks make it difficult for legitimate users to access various network ser...
Latifur Khan, Mamoun Awad, Bhavani M. Thuraisingha...
ICC
2007
IEEE
141views Communications» more  ICC 2007»
13 years 11 months ago
Accurate Classification of the Internet Traffic Based on the SVM Method
—The need to quickly and accurately classify Internet traffic for security and QoS control has been increasing significantly with the growing Internet traffic and applications ov...
Zhu Li, Ruixi Yuan, Xiaohong Guan
KAIS
2006
229views more  KAIS 2006»
13 years 4 months ago
Call classification using recurrent neural networks, support vector machines and finite state automata
Our objective is spoken language classification for helpdesk call routing using a scanning understanding and intelligent system techniques. In particular, we examine simple recurre...
Sheila Garfield, Stefan Wermter