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IWIA
2003
IEEE
15 years 5 months ago
Stochastic Protocol Modeling for Anomaly Based Network Intrusion Detection
1 A new method for detecting anomalies in the usage of protocols in computer networks is presented in this work. The proposed methodology is applied to TCP and disposed in two step...
Juan M. Estévez-Tapiador, Pedro Garcia-Teod...
ISDA
2010
IEEE
14 years 9 months ago
Detecting anomalies in spatiotemporal data using genetic algorithms with fuzzy community membership
A genetic algorithm is combined with two variants of the modularity (Q) network analysis metric to examine a substantial amount fisheries catch data. The data set produces one of t...
Garnett Carl Wilson, Simon Harding, Orland Hoeber,...
IM
2007
15 years 1 months ago
Real-time Analysis of Flow Data for Network Attack Detection
— With the wide deployment of flow monitoring in IP networks, the analysis of the exported flow data has become an important research area. It has been shown that flow data ca...
Gerhard Münz, Georg Carle
CORR
2010
Springer
136views Education» more  CORR 2010»
14 years 10 months ago
NgViz: Detecting DNS Tunnels through N-Gram Visualization and Quantitative Analysis
This paper introduced NgViz, a tool that examines DNS traffic and shows anomalies in n-gram frequencies. This is accomplished by comparing input files against a fingerprint of leg...
Kenton Born, David Gustafson
ICDM
2005
IEEE
190views Data Mining» more  ICDM 2005»
15 years 5 months ago
Neighborhood Formation and Anomaly Detection in Bipartite Graphs
Many real applications can be modeled using bipartite graphs, such as users vs. files in a P2P system, traders vs. stocks in a financial trading system, conferences vs. authors ...
Jimeng Sun, Huiming Qu, Deepayan Chakrabarti, Chri...