Showing items with similar title or keywords.

• Intrusion detection applications using knowledge discovery and data mining 

  Juvonen, Antti (University of Jyväskylä, 2014)

• 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 ...

• Online anomaly detection using dimensionality reduction techniques for HTTP log analysis 

  Juvonen, Antti; Sipola, Tuomo; Hämäläinen, Timo (Elsevier BV * North-Holland; International Council for Computer Communications, 2015)

  Modern web services face an increasing number of new threats. Logs are collected from almost all web servers, and for this reason analyzing them is beneficial when trying to prevent intrusions. Intrusive behavior often ...

• 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 ...

• Adaptive framework for network traffic classification using dimensionality reduction and clustering 

  Juvonen, Antti; Sipola, Tuomo (IEEE, 2012)

  Information security has become a very important topic especially during the last years. Web services are becoming more complex and dynamic. This offers new possibilities for attackers to exploit vulnerabilities by inputting ...