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One Size Does Not Fit All: Analyzing Organizational Challenges in Information Classification
Jönköping University, School of Engineering, JTH, Department of Computing.
2025 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This thesis explores the question What are the key challenges organizations face when designing and implementinginformation classification tailored to their specific needs?Through semi-structured interviews with professionals from five Swedish sectors, the study identifies bothshared and sector-specific challenges. Common themes include balancing granularity and usability, adapting tolegacy systems, and ensuring user engagement. Sectoral differences reveal that financial institutions emphasizecompliance, while industrial and public sectors prioritize operational flexibility.The thesis concludes that while standards like ISO/IEC 27001 provide a foundation, effective classificationdepends on organizational context, culture, and continuous adaptation.

Place, publisher, year, edition, pages
2025. , p. 21
Keywords [en]
Information classification, ISRM, Information classification scheme
National Category
Security, Privacy and Cryptography
Identifiers
URN: urn:nbn:se:hj:diva-68501OAI: oai:DiVA.org:hj-68501DiVA, id: diva2:1969305
Subject / course
JTH, Computer Engineering
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Examiners
Available from: 2025-06-24 Created: 2025-06-14 Last updated: 2025-10-13Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • 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