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Analysis of Network Intrusion Detection System with Machine Learning Algorithms (Deep Reinforcement Learning Algorithm)
Blekinge Institute of Technology.
Blekinge Institute of Technology.
2018 (English)Independent thesis Advanced level (degree of Master (One Year)), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2018. , p. 80
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:bth-17126OAI: oai:DiVA.org:bth-17126DiVA, id: diva2:1255686
External cooperation
Sony Mobile Communications
Subject / course
ET2580 Master's Thesis (120 credits) in Electrical Engineering with emphasis on Telecommunication Systems
Educational program
ETATE Master of Science Programme in Electrical Engineering with emphasis on Telecommunication Systems
Presentation
2018-10-01, BTH, Karlskrona, 00:05 (English)
Supervisors
Examiners
Available from: 2019-01-10 Created: 2018-10-15 Last updated: 2019-01-10Bibliographically approved

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BTH2018Janagam(1977 kB)10291 downloads
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File name FULLTEXT02.pdfFile size 1977 kBChecksum SHA-512
85811747b379918cd7a67077e2d5a0418fa5d496d109368e96cca057b479077b6ff97147eca1fa5f457bb34a554ad196d1d39abdd43579923e1aa9250d80b7bc
Type fulltextMimetype application/pdf

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Blekinge Institute of Technology
Telecommunications

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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