Network intrusion detection

David J. Marchette

No 2004,34, Papers from Humboldt University of Berlin, Center for Applied Statistics and Economics (CASE)

Abstract: Attacks 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.

Date: 2004
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.econstor.eu/bitstream/10419/22207/1/34_dm.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:zbw:caseps:200434

Access Statistics for this paper

More papers in Papers from Humboldt University of Berlin, Center for Applied Statistics and Economics (CASE) Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().