Artificial Neural Networks as a Monitoring System in Linux

dc.contributor.advisor	Downing, Keith	nb_NO
dc.contributor.author	Grønnesby, Øyvind	nb_NO
dc.date.accessioned	2014-12-19T13:30:43Z
dc.date.available	2014-12-19T13:30:43Z
dc.date.created	2010-09-02	nb_NO
dc.date.issued	2007	nb_NO
dc.identifier	346695	nb_NO
dc.identifier	ntnudaim:1175	nb_NO
dc.identifier.uri	http://hdl.handle.net/11250/250077
dc.description.abstract	This thesis attempts to show how artiﬁcial neural networks can be used to implement computer monitoring systems based on internal state in the operating system running on the computer. Through experiments it will show how to implement such a system for Linux and show that this is a viable method for computer system monitoring. Through exposing the frequencies of system call invocations in the Linux kernel, the neural network will attempt to classify the system state according to training.	nb_NO
dc.language	eng	nb_NO
dc.publisher	Institutt for datateknikk og informasjonsvitenskap	nb_NO
dc.subject	ntnudaim	no_NO
dc.subject	MIT informatikk	no_NO
dc.subject	Kunstig intelligens og læring	no_NO
dc.title	Artificial Neural Networks as a Monitoring System in Linux	nb_NO
dc.type	Master thesis	nb_NO
dc.source.pagenumber	84	nb_NO
dc.contributor.department	Norges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for datateknikk og informasjonsvitenskap	nb_NO