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Smart Home Security Using Intrusion Detection and Prevention Systems
Halmstad University, School of Information Technology.
2019 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

As the connectivity of home devices elevates so does the volume and sophistication of cyber attacks consistently grow. Therefore, the need for network security and availability becomes more significant. Numerous sorts of countermeasures like firewalls and router-based packet filtering have been put in place, although these alone are not enough to brace the network from unauthorised access. One of the most efficient methods of stopping network adversaries is using Intrusion Detection and Prevention Systems (IDPS). The goal of an IDPS is to stop security attacks before they can be successfully carried out. In this paper, I looked at four network attacks namely; probing, denial of service, remote to user and user to root and improved their respective Snort rules to optimize processing time and capturing capacity using regular expressions and fast pattern. Snort with improved rules captured 100% of the attacks launched to the network while without the improved rules, Snort captured between 0% to 60% of the attacks launched to the network making an improvement of 40%.

Place, publisher, year, edition, pages
2019.
Keywords [en]
Digital Forensics, cyber security, Intrusion Detection
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hh:diva-40995OAI: oai:DiVA.org:hh-40995DiVA, id: diva2:1371461
Subject / course
Digital Forensics
Educational program
Master's Programme in Network Forensics, 60 credits
Supervisors
Examiners
Available from: 2019-11-25 Created: 2019-11-20 Last updated: 2019-11-25Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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Output format
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