Information security risk assessment using survival analysis technique for the Malaysian public sector data centers

The increase in information security threats and the resulting demand for more robust online services necessitates that the Malaysian Government takes relevant measures to better protect its Critical National Information and Communications Technology Infrastructure (CNII) to ensure business and serv...

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Main Author: Shammugam, Inthrani
Format: Thesis
Language:English
Published: 2021
Subjects:
Online Access:http://eprints.utm.my/106998/1/Inthrani%20ShammugamPFTIR2021.pdf
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id my.utm.106998
record_format eprints
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic T Technology (General)
TK5101-6720 Telecommunication
spellingShingle T Technology (General)
TK5101-6720 Telecommunication
Shammugam, Inthrani
Information security risk assessment using survival analysis technique for the Malaysian public sector data centers
description The increase in information security threats and the resulting demand for more robust online services necessitates that the Malaysian Government takes relevant measures to better protect its Critical National Information and Communications Technology Infrastructure (CNII) to ensure business and services continuity. Thus, the Malaysian Public Sector needs to adopt a suitable risk assessment methodology to effectively protect the critical Information and Communication Technology (ICT) assets, primarily housed in data centers. However, selecting a suitable risk assessment methodology out of the plethora currently available is a challenge as the majority only provide very high level guidelines and most use the qualitative approach, which gives inaccurate results, needs repetitive efforts, is tedious, and time consuming. This research aims to develop a comprehensive method, covering all critical ICT assets systematically with standard detailed guidelines of risk assessment approach to identify, analyse as well as evaluate the risks associated with data centers. The proposed risk assessment approach will use the survival analysis technique, which is proven to be a reliable and effective method in predicting potential hazards of covariates accurately, for the subjects under observation and in compliance with the international standards ISO27005: Information Security Risk Management and ISO27001: Information Security Management System Requirements. The study employed the exploratory sequential mixed methods design methodology for the overall data collection, where qualitative and quantitative data were collected in Phase 1 and Phase 2 respectively. In Phase 2, the study took advantage of the medical research design approach and adopted the retrospective cohort study to collect historical data related to data center security incidents over two years, in a selected organization, and applied the survival analysis technique to analyse the collected data using the Cox Proportional Hazard model and the Counting Process layout format as well as the R statistical method, which led to the identification of 20 information security threats. The survival analysis technique was tested for its reliability using data sets of different sizes and was validated as the results had negligible disparity. These results were also consistent with two previous studies in two different environments, a health care system in a traditional environment and a cloud computing environment with a similarity in identifying information security threats of 91% and 69% respectively. The proposed risk assessment approach using the survival analysis technique was applied in a prominent organization and successfully identified the potential threats, their risk levels and significances, which helped them to prioritise the risks as well as focus on the important mitigation plans and optimise the resources. Thus, this study is expected to significantly contribute in identifying and mitigating risks associated with data centers, and safeguarding the government’s critical ICT assets effectively. In addition, the study has successfully identified the potential information security threats often encountered by the Malaysian Public Sector data centers. This will help the ICT security officers to implement suitable control measures to prevent any untoward incident or minimise the adverse impact to ensure a safe and secured environment to conduct business and service delivery in their organizations. The study also enhances the risk assessment body of knowledge with a thoroughly researched, developed and tested risk assessment methodology to assess and predict potential information security risks for the data center environment.
format Thesis
author Shammugam, Inthrani
author_facet Shammugam, Inthrani
author_sort Shammugam, Inthrani
title Information security risk assessment using survival analysis technique for the Malaysian public sector data centers
title_short Information security risk assessment using survival analysis technique for the Malaysian public sector data centers
title_full Information security risk assessment using survival analysis technique for the Malaysian public sector data centers
title_fullStr Information security risk assessment using survival analysis technique for the Malaysian public sector data centers
title_full_unstemmed Information security risk assessment using survival analysis technique for the Malaysian public sector data centers
title_sort information security risk assessment using survival analysis technique for the malaysian public sector data centers
publishDate 2021
url http://eprints.utm.my/106998/1/Inthrani%20ShammugamPFTIR2021.pdf
http://eprints.utm.my/106998/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:156360?site_name=GlobalView&query=Information+security+risk+assessment+using+survival+analysis+technique+for+the+Malaysian+public+sector+data+centers&queryType=vitalDismax
_version_ 1809136611308339200
spelling my.utm.1069982024-08-29T02:23:02Z http://eprints.utm.my/106998/ Information security risk assessment using survival analysis technique for the Malaysian public sector data centers Shammugam, Inthrani T Technology (General) TK5101-6720 Telecommunication The increase in information security threats and the resulting demand for more robust online services necessitates that the Malaysian Government takes relevant measures to better protect its Critical National Information and Communications Technology Infrastructure (CNII) to ensure business and services continuity. Thus, the Malaysian Public Sector needs to adopt a suitable risk assessment methodology to effectively protect the critical Information and Communication Technology (ICT) assets, primarily housed in data centers. However, selecting a suitable risk assessment methodology out of the plethora currently available is a challenge as the majority only provide very high level guidelines and most use the qualitative approach, which gives inaccurate results, needs repetitive efforts, is tedious, and time consuming. This research aims to develop a comprehensive method, covering all critical ICT assets systematically with standard detailed guidelines of risk assessment approach to identify, analyse as well as evaluate the risks associated with data centers. The proposed risk assessment approach will use the survival analysis technique, which is proven to be a reliable and effective method in predicting potential hazards of covariates accurately, for the subjects under observation and in compliance with the international standards ISO27005: Information Security Risk Management and ISO27001: Information Security Management System Requirements. The study employed the exploratory sequential mixed methods design methodology for the overall data collection, where qualitative and quantitative data were collected in Phase 1 and Phase 2 respectively. In Phase 2, the study took advantage of the medical research design approach and adopted the retrospective cohort study to collect historical data related to data center security incidents over two years, in a selected organization, and applied the survival analysis technique to analyse the collected data using the Cox Proportional Hazard model and the Counting Process layout format as well as the R statistical method, which led to the identification of 20 information security threats. The survival analysis technique was tested for its reliability using data sets of different sizes and was validated as the results had negligible disparity. These results were also consistent with two previous studies in two different environments, a health care system in a traditional environment and a cloud computing environment with a similarity in identifying information security threats of 91% and 69% respectively. The proposed risk assessment approach using the survival analysis technique was applied in a prominent organization and successfully identified the potential threats, their risk levels and significances, which helped them to prioritise the risks as well as focus on the important mitigation plans and optimise the resources. Thus, this study is expected to significantly contribute in identifying and mitigating risks associated with data centers, and safeguarding the government’s critical ICT assets effectively. In addition, the study has successfully identified the potential information security threats often encountered by the Malaysian Public Sector data centers. This will help the ICT security officers to implement suitable control measures to prevent any untoward incident or minimise the adverse impact to ensure a safe and secured environment to conduct business and service delivery in their organizations. The study also enhances the risk assessment body of knowledge with a thoroughly researched, developed and tested risk assessment methodology to assess and predict potential information security risks for the data center environment. 2021 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/106998/1/Inthrani%20ShammugamPFTIR2021.pdf Shammugam, Inthrani (2021) Information security risk assessment using survival analysis technique for the Malaysian public sector data centers. PhD thesis, Universiti Teknologi Malaysia. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:156360?site_name=GlobalView&query=Information+security+risk+assessment+using+survival+analysis+technique+for+the+Malaysian+public+sector+data+centers&queryType=vitalDismax
score 13.211869