Systematic Literature Review for Modeling a Cyber Risk Assessment Framework
This paper presents a framework for cyber risk assessment using a systematic literature review (SLR). A three-staged systematic review was used in this SLR planning, conducting, and reporting the review. Results screening was done by applying inclusion and exclusion criteria. EndNote software and th...
Published in: | ENVIRONMENT-BEHAVIOUR PROCEEDINGS JOURNAL |
---|---|
Main Authors: | , , , , |
Format: | Proceedings Paper |
Language: | English |
Published: |
E-IPH LTD UK
2024
|
Subjects: | |
Online Access: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001276023400015 |
author |
Amin Zahari Mohd; Anwar Norizan; Shoid Mohd Shamsul Mohd; Samuri Suzaliana |
---|---|
spellingShingle |
Amin Zahari Mohd; Anwar Norizan; Shoid Mohd Shamsul Mohd; Samuri Suzaliana Systematic Literature Review for Modeling a Cyber Risk Assessment Framework Environmental Sciences & Ecology |
author_facet |
Amin Zahari Mohd; Anwar Norizan; Shoid Mohd Shamsul Mohd; Samuri Suzaliana |
author_sort |
Amin |
spelling |
Amin, Zahari Mohd; Anwar, Norizan; Shoid, Mohd Shamsul Mohd; Samuri, Suzaliana Systematic Literature Review for Modeling a Cyber Risk Assessment Framework ENVIRONMENT-BEHAVIOUR PROCEEDINGS JOURNAL English Proceedings Paper This paper presents a framework for cyber risk assessment using a systematic literature review (SLR). A three-staged systematic review was used in this SLR planning, conducting, and reporting the review. Results screening was done by applying inclusion and exclusion criteria. EndNote software and the PRISMA flow diagram were helpful tools during this screening process. The SLR helps the researcher to discover the variables and dimensions in assessing cyber risk. Its findings helped the researcher to produce a framework model of cyber risk assessment. The framework created is expected to give an overview of a more standardized and controlled method of assessing cyber risk to be adopted by organizations. E-IPH LTD UK 2398-4287 2024 9 10.21834/e-bpj.v9iSI18.5481 Environmental Sciences & Ecology hybrid WOS:001276023400015 https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001276023400015 |
title |
Systematic Literature Review for Modeling a Cyber Risk Assessment Framework |
title_short |
Systematic Literature Review for Modeling a Cyber Risk Assessment Framework |
title_full |
Systematic Literature Review for Modeling a Cyber Risk Assessment Framework |
title_fullStr |
Systematic Literature Review for Modeling a Cyber Risk Assessment Framework |
title_full_unstemmed |
Systematic Literature Review for Modeling a Cyber Risk Assessment Framework |
title_sort |
Systematic Literature Review for Modeling a Cyber Risk Assessment Framework |
container_title |
ENVIRONMENT-BEHAVIOUR PROCEEDINGS JOURNAL |
language |
English |
format |
Proceedings Paper |
description |
This paper presents a framework for cyber risk assessment using a systematic literature review (SLR). A three-staged systematic review was used in this SLR planning, conducting, and reporting the review. Results screening was done by applying inclusion and exclusion criteria. EndNote software and the PRISMA flow diagram were helpful tools during this screening process. The SLR helps the researcher to discover the variables and dimensions in assessing cyber risk. Its findings helped the researcher to produce a framework model of cyber risk assessment. The framework created is expected to give an overview of a more standardized and controlled method of assessing cyber risk to be adopted by organizations. |
publisher |
E-IPH LTD UK |
issn |
2398-4287 |
publishDate |
2024 |
container_volume |
9 |
container_issue |
|
doi_str_mv |
10.21834/e-bpj.v9iSI18.5481 |
topic |
Environmental Sciences & Ecology |
topic_facet |
Environmental Sciences & Ecology |
accesstype |
hybrid |
id |
WOS:001276023400015 |
url |
https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001276023400015 |
record_format |
wos |
collection |
Web of Science (WoS) |
_version_ |
1814778544194060288 |