Näytetään aineistoja, joilla on samankaltainen nimeke tai asiasanat.

• 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 ...

• A method for anomaly detection in hyperspectral images, using deep convolutional autoencoders 

  Penttilä, Jeremias (2017)

  Menetelmä poikkeavuuksien havaitsemiseen hyperspektrikuvista käyttäen syviä konvolutiivisia autoenkoodereita. Poikkeavuuksien havaitseminen kuvista, erityisesti hyperspektraalisista kuvista, on hankalaa. Kun ongelmaan ...

• 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 ...