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Network Intrusion and Detection: An evaluation of SNORT
Linköping University, Department of Computer and Information Science.
Linköping University, Department of Computer and Information Science.
2018 (English)Independent thesis Basic level (degree of Bachelor), 10,5 credits / 16 HE creditsStudent thesis
Abstract [en]

Network security has become a vital part for computer networks to ensure that they operate as expected. With many of today's services relying on networks it is of great importance that the usage of networks are not being compromised. One way to increase the security of a computer network is to implement a Network Intrusion Detection System (NIDS). This system monitors the traffic sent to, from and within the network. This study investigates how a NIDS called SNORT with different configurations handles common network attacks. The knowledge of how SNORT managed the attacks is used to evaluate and indicate the vulnerability of different SNORT configurations. Different approaches on both how to bypass SNORT and how to detect attacks are described both theoretically, and practically with experiments. This study concludes that a carefully prepared configuration is the factor for SNORT to perform well in network intrusion detection.

Place, publisher, year, edition, pages
2018. , p. 20
Keyword [en]
network intrusion detection system, intrusion detection system, snort, snort evaluation
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:liu:diva-144335ISRN: LIU-IDA/LITH-EX-G--2017/085--SEOAI: oai:DiVA.org:liu-144335DiVA: diva2:1175693
Subject / course
Computer science
Supervisors
Examiners
Available from: 2018-01-26 Created: 2018-01-18 Last updated: 2018-01-26Bibliographically approved

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fulltext(1185 kB)39 downloads
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Fleming, TheodorWilander, Hjalmar
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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