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How AI can Improve Intrusion Detection and Prevention System
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering.
2024 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Attacks on computer systems have been a persistent and unwanted problem since computers were first created. Despite using various security measures, the threats to security have increased as technology has advanced. With the world relying heavily on computers, it's crucial to protect them from harmful activities that could harm their functioning. To secure computer systems, especially within networks, Intrusion Detection Systems (IDS) and Intrusion Prevention Systems (IPS) are commonly used. These systems are essential for making sure that computer environments are safe and secure, especially as security challenges grow. As technology progresses, incorporating Artificial Intelligence (AI) into IDS and IPS technologies makes them even more effective in detecting and preventing intrusions. This strengthens the overall security of computer systems. The goal of this research is to explore how AI methods can enhance IDS and IPS systems. 

Place, publisher, year, edition, pages
2024. , p. 60
Keywords [en]
IDS, IPS, AI
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-109134OAI: oai:DiVA.org:ltu-109134DiVA, id: diva2:1893895
Subject / course
Student thesis, at least 30 credits
Educational program
Information Security, master's level (120 credits)
Supervisors
Examiners
Available from: 2024-09-03 Created: 2024-08-31 Last updated: 2024-09-03Bibliographically approved

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fulltext(1004 kB)461 downloads
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95594ed9df2cdc9d605abe4f85de48a11925d622e7f1f9a48cb9018b0500033c067042e1af7aae9951c43fa9d819c7de593f175cd66406d8a1e39ec599eff079
Type fulltextMimetype application/pdf

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Department of Computer Science, Electrical and Space Engineering
Electrical Engineering, Electronic Engineering, Information Engineering

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CiteExportLink to record
Permanent link

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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
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  • asciidoc
  • rtf