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Information Security Risk Assessment (ISRA): A Systematic Literature Review

Journal of Information Systems Engineering and Business Intelligence · Vol. 8 No. 2 (2022) · pp. 207–217

DOI
10.20473/jisebi.8.2.207-217
ISSN
2443-2555, 2598-6333
Published
2022-10-29
Publisher
Universitas Airlangga
Language
eng
License
creativecommons.org/licenses/by/4.0

Abstract

Background: Information security is essential for organisations, hence the risk assessment. Information security risk assessment (ISRA) identifies, assesses, and prioritizes risks according to organisational goals. Previous studies have analysed and discussed information security risk assessment. Therefore, it is necessary to understand the models more systematically. Objective: This study aims to determine types of ISRA and fill a gap in literature review research by categorizing existing frameworks, models, and methods. Methods: The systematic literature review (SLR) approach developed by Kitchenham is applied in this research. A total of 25 studies were selected, classified, and analysed according to defined criteria. Results: Most selected studies focus on implementing and developing new models for risk assessment. In addition, most are related to information systems in general. Conclusion: The findings show that there is no single best framework or model because the best framework needs to be tailored according to organisational goals. Previous researchers have developed several new ISRA models, but empirical evaluation research is needed. Future research needs to develop more robust models for risk assessments for cloud computing systems. Keywords: Information Security Risk Assessment, ISRA, Security Risk

Collaboration network of the authors

40 authors · 104 co-authorship links · 21 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • University of Indonesia
  • Universitas Teknokrat Indonesia
  • National Research and Innovation Agency
  • Universitas Islam Negeri Raden Intan Lampung
  • Badan Pusat Statistik
  • Bakrie University
  • Universitas Ciputra
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Sofian LusaUniversity of Indonesia5
Erisva Hakiki PurwaningsihUniversity of Indonesia3
Deden Sumirat HidayatNational Research and Innovation Agency3
Nandhita Zefania MaharaniUniversity of Indonesia2
Shabrina Salsabila KurniawanUniversity of Indonesia2
Prasetyo Adi Wibowo PutroUniversity of Indonesia2
Muhamad Adhytia Wana Putra RahmadhanUniversity of Indonesia2
Kautsarina KautsarinaAffiliation unknown2
Ahmad Ari AldinoUniversitas Teknokrat Indonesia1
Riyama AmbarwatiUniversitas Islam Negeri Raden Intan Lampung1
Rini MuliahatiAffiliation unknown1
Herlambang PermadiBadan Pusat Statistik1
Puja Putri AbdullahUniversity of Indonesia1
Rina RahmawatiUniversity of Indonesia1
Assaf AriefUniversity of Indonesia1
Prasetyo AdiUniversity of Indonesia1
Ferdian Maulana AkbarUniversity of Indonesia1
Robby HermansyahUniversity of Indonesia1
Nadya SafitriUniversity of Indonesia1
Damayanti ElisabethUniversity of Indonesia1
Yeni ApriyanaAffiliation unknown1
Raden TrimanadiAffiliation unknown1
Rahma DestrianiUniversity of Indonesia1
Raihansyah Yoga AdhitamaUniversity of Indonesia1
Imairi EitiveniUniversity of Indonesia1
Elin CahyaningsihBakrie University1
Iqbal Caraka AltinoUniversity of Indonesia1
Wahyu Setyawan WibowoAffiliation unknown1
Ilham Zharif MustaqimUniversity of Indonesia1
Handika MasbudiUniversity of Indonesia1
Husain HusainUniversity of Indonesia1
Sofianti IndriasariUniversity of Indonesia1
Nur Isni NirwanUniversity of Indonesia1
Apriyanti SijabatUniversity of Indonesia1
Adi Suryaputra ParamitaUniversitas Ciputra1
Harjanto PrabowoBinus University1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://e-journal.unair.ac.id/JISEBI/oai, first harvested 29 Oct 2026, last seen 8 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">Information Security Risk Assessment (ISRA): A Systematic Literature Review</dc:title>
	<dc:creator>Devi, Rias Kumalasari</dc:creator>
	<dc:creator>Sensuse, Dana Indra</dc:creator>
	<dc:creator>Kautsarina</dc:creator>
	<dc:creator>Suryono, Ryan Randy</dc:creator>
	<dc:description xml:lang="en-US">Background: Information security is essential for organisations, hence the risk assessment. Information security risk assessment (ISRA) identifies, assesses, and prioritizes risks according to organisational goals. Previous studies have analysed and discussed information security risk assessment. Therefore, it is necessary to understand the models more systematically.
Objective: This study aims to determine types of ISRA and fill a gap in literature review research by categorizing existing frameworks, models, and methods.
Methods: The systematic literature review (SLR) approach developed by Kitchenham is applied in this research. A total of 25 studies were selected, classified, and analysed according to defined criteria.
Results: Most selected studies focus on implementing and developing new models for risk assessment. In addition, most are related to information systems in general.
Conclusion: The findings show that there is no single best framework or model because the best framework needs to be tailored according to organisational goals. Previous researchers have developed several new ISRA models, but empirical evaluation research is needed. Future research needs to develop more robust models for risk assessments for cloud computing systems.
 
Keywords: Information Security Risk Assessment, ISRA, Security Risk</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Airlangga</dc:publisher>
	<dc:date>2022-10-29</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://e-journal.unair.ac.id/JISEBI/article/view/37851</dc:identifier>
	<dc:identifier>10.20473/jisebi.8.2.207-217</dc:identifier>
	<dc:source xml:lang="en-US">Journal of Information Systems Engineering and Business Intelligence; Vol. 8 No. 2 (2022): October; 207-217</dc:source>
	<dc:source>2443-2555</dc:source>
	<dc:source>2598-6333</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://e-journal.unair.ac.id/JISEBI/article/view/37851/22818</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2022 The Authors. Published by Universitas Airlangga.</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by/4.0</dc:rights>
</oai_dc:dc>