Anomaly-based network intrusion detection systems : problems and challanges
Tekijät
Päivämäärä
2010Pääsyrajoitukset
Tekijänoikeudellisista syistä julkaisu on luettavissa vain Tietojenkäsittelytieteiden laitoksella.
Luettavissa tekijänoikeudellisista syistä vain Jyväskylän yliopiston Tietojenkäsittelytieteiden laitoksella.
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An Efficient Network Log Anomaly Detection System using Random Projection Dimensionality Reduction
Juvonen, Antti; Hämäläinen, Timo (IEEE, 2014)Network traffic is increasing all the time and network services are becoming more complex and vulnerable. To protect these networks, intrusion detection systems are used. Signature-based intrusion detection cannot find ... -
Feature selection in anomaly-based network intrusion detection systems
Paananen, Harri (2010) -
Anomaly-based online intrusion detection system as a sensor for cyber security situational awareness system
Kokkonen, Tero (University of Jyväskylä, 2016)Almost all the organisations and even individuals rely on complex structures of data networks and networked computer systems. That complex data ensemble, the cyber domain, provides great opportunities, but at the same ... -
Dimensionality reduction framework for detecting anomalies from network logs
Sipola, Tuomo; Juvonen, Antti; Lehtonen, Joel (CRL Publishing, 2012)Dynamic web services are vulnerable to multitude of intrusions that could be previously unknown. Server logs contain vast amounts of information about network traffic, and finding attacks from these logs improves the ... -
Anomaly detection from network logs using diffusion maps
Sipola, Tuomo; Juvonen, Antti; Lehtonen, Joel (Springer, 2011)The goal of this study is to detect anomalous queries from network logs using a dimensionality reduction framework. The fequencies of 2-grams in queries are extracted to a feature matrix. Dimensionality reduction is done ...
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