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CORR
2010
Springer
149views Education» more  CORR 2010»
15 years 6 months ago
Using Rough Set and Support Vector Machine for Network Intrusion Detection
The main function of IDS (Intrusion Detection System) is to protect the system, analyze and predict the behaviors of users. Then these behaviors will be considered an attack or a ...
Rung Ching Chen, Kai-Fan Cheng, Chia-Fen Hsieh
CORR
2010
Springer
176views Education» more  CORR 2010»
15 years 6 months ago
Network Traffic Anomalies Detection and Identification with Flow Monitoring
Network management and security is currently one of the most vibrant research areas, among which, research on detecting and identifying anomalies has attracted a lot of interest. R...
Huy Anh Nguyen, Tam Van Nguyen, Dong Il Kim, Deokj...
TNN
2008
132views more  TNN 2008»
15 years 6 months ago
Just-in-Time Adaptive Classifiers - Part I: Detecting Nonstationary Changes
Abstract--The stationarity requirement for the process generating the data is a common assumption in classifiers' design. When such hypothesis does not hold, e.g., in applicat...
Cesare Alippi, Manuel Roveri
JCS
2002
115views more  JCS 2002»
15 years 6 months ago
Panoptis: Intrusion Detection Using a Domain-Specific Language
We describe the use of a domain-specific language (DSL) for expressing critical design values and constraints in an intrusion detection application. Through the use of this specia...
Diomidis Spinellis, Dimitris Gritzalis
SDM
2010
SIAM
166views Data Mining» more  SDM 2010»
15 years 5 months ago
Directed Network Community Detection: A Popularity and Productivity Link Model
In this paper, we consider the problem of community detection in directed networks by using probabilistic models. Most existing probabilistic models for community detection are ei...
Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, ...