Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/22207 
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dc.contributor.authorMarchette, David J.en
dc.date.accessioned2009-01-29T14:54:24Z-
dc.date.available2009-01-29T14:54:24Z-
dc.date.issued2004-
dc.identifier.urihttp://hdl.handle.net/10419/22207-
dc.description.abstractAttacks against computers and the internet are in the news every week. These primarily take the form of malicious code such as viruses and worms, or denial of service attacks. Less commonly reported are attacs with gain access to computers, either for the purpose of producing damage (such as defacing web sites or deleting data) or for the opportunities such as access provides to the attacker, such as accessto bank accounts or controlsystems of power stations. This chapter will discuss some of the areas in which computational statistics can be applied to these and related problems.en
dc.language.isoengen
dc.publisher|aHumboldt-Universität zu Berlin, Center for Applied Statistics and Economics (CASE) |cBerlinen
dc.relation.ispartofseries|aPapers |x2004,34en
dc.subject.ddc330en
dc.titleNetwork intrusion detection-
dc.typeWorking Paperen
dc.identifier.ppn495308552en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen
dc.identifier.repecRePEc:zbw:caseps:200434en

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