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Article Open Access April 29, 2024

Digital Forensic Investigation Standards in Cloud Computing

Ehigiator Egho-Promise 1,*, Sunday Idahosa 2, George Asante 3 and Augusta Okungbowa 4
1
Department of ICT, City of Oxford College & University Centre, UK
2
Value Chain Advisor, Pro-poor Growth and Employment Promotion in Nigeria Programme (SEDIN), Nigeria
3
Department of IT Education, Akenten Appiah-Menka University of Skills Training and Entrepreneurial Development, Ghana
4
Computer Science, Shaka Polytechnic, Benin City, Nigeria
Publihed in: Current Research in Public Health (Volume 3, Issue 1, 2024)
Page(s): 23-45
DOI: 10.31586/ujcsc.2024.923
Received
March 02, 2024
Revised
April 08, 2024
Accepted
April 28, 2024
Published
April 29, 2024
Keywords
Cloud Computing; Digital Forensics; Forensic Investigation Standards; Cloud Forensics; Cybercrime Investigation; Data Acquisition
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright: Copyright © The Author(s), 2024. Published by Scientific Publications
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Cite This Article

APA Style
Egho-Promise, E. , Egho-Promise, E. Idahosa, S. , Idahosa, S. Asante, G. , & Asante, G. (2024). Digital Forensic Investigation Standards in Cloud Computing. Current Research in Public Health, 3(1), 23-45. https://doi.org/10.31586/ujcsc.2024.923
ACS Style
Egho-Promise, E. ; Egho-Promise, E. Idahosa, S. ; Idahosa, S. Asante, G. ; Asante, G. Digital Forensic Investigation Standards in Cloud Computing. Current Research in Public Health 2024 3(1), 23-45. https://doi.org/10.31586/ujcsc.2024.923
Chicago/Turabian Style
Egho-Promise, Ehigiator, Ehigiator Egho-Promise. Sunday Idahosa, Sunday Idahosa. George Asante, and George Asante. 2024. "Digital Forensic Investigation Standards in Cloud Computing". Current Research in Public Health 3, no. 1: 23-45. https://doi.org/10.31586/ujcsc.2024.923
AMA Style
Egho-Promise E, Egho-Promise EIdahosa S, Idahosa SAsante G, Asante G. Digital Forensic Investigation Standards in Cloud Computing. Current Research in Public Health. 2024; 3(1):23-45. https://doi.org/10.31586/ujcsc.2024.923 
@Article{crph923,
AUTHOR = {Egho-Promise, Ehigiator and Idahosa, Sunday and Asante, George and Okungbowa, Augusta},
TITLE = {Digital Forensic Investigation Standards in Cloud Computing},
JOURNAL = {Current Research in Public Health},
VOLUME = {3},
YEAR = {2024},
NUMBER = {1},
PAGES = {23-45},
URL = {https://www.scipublications.com/journal/index.php/UJCSC/article/view/923},
ISSN = {2831-5162},
DOI = {10.31586/ujcsc.2024.923},
ABSTRACT = {Digital forensics in cloud computing environments presents significant challenges due to the distributed nature of data storage, diverse security practices employed by service providers, and jurisdictional complexities. This study aims to develop a comprehensive framework and improved methodologies tailored for conducting digital forensic investigations in cloud settings. A pragmatic research philosophy integrating positivist and interpretivist paradigms guides an exploratory sequential mixed methods design. Qualitative methods, including case studies, expert interviews, and document analysis were used to explore key variables and themes. Findings inform hypotheses and survey instrument development for the subsequent quantitative phase involving structured surveys with digital forensics professionals, cloud providers, and law enforcement agencies, across the globe. The multi-method approach employs purposive and stratified random sampling techniques, targeting a sample of 100-150 participants, across the globe, for qualitative components and 300-500 for quantitative surveys. Qualitative data went through thematic and content analysis, while quantitative data were analysed using descriptive and inferential statistical methods facilitated by software such as SPSS and R. An integrated mixed methods analysis synthesizes and triangulates findings, enhancing validity, reliability, and comprehensiveness. Strict ethical protocols safeguard participant confidentiality and data privacy throughout the research process. This robust methodology contributed to the development of improved frameworks, guidelines, and best practices for digital forensics investigations in cloud computing, addressing legal and jurisdictional complexities in this rapidly evolving domain.},
}
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%T Digital Forensic Investigation Standards in Cloud Computing
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AU  - Okungbowa, Augusta
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AB  - Digital forensics in cloud computing environments presents significant challenges due to the distributed nature of data storage, diverse security practices employed by service providers, and jurisdictional complexities. This study aims to develop a comprehensive framework and improved methodologies tailored for conducting digital forensic investigations in cloud settings. A pragmatic research philosophy integrating positivist and interpretivist paradigms guides an exploratory sequential mixed methods design. Qualitative methods, including case studies, expert interviews, and document analysis were used to explore key variables and themes. Findings inform hypotheses and survey instrument development for the subsequent quantitative phase involving structured surveys with digital forensics professionals, cloud providers, and law enforcement agencies, across the globe. The multi-method approach employs purposive and stratified random sampling techniques, targeting a sample of 100-150 participants, across the globe, for qualitative components and 300-500 for quantitative surveys. Qualitative data went through thematic and content analysis, while quantitative data were analysed using descriptive and inferential statistical methods facilitated by software such as SPSS and R. An integrated mixed methods analysis synthesizes and triangulates findings, enhancing validity, reliability, and comprehensiveness. Strict ethical protocols safeguard participant confidentiality and data privacy throughout the research process. This robust methodology contributed to the development of improved frameworks, guidelines, and best practices for digital forensics investigations in cloud computing, addressing legal and jurisdictional complexities in this rapidly evolving domain.
DO  - Digital Forensic Investigation Standards in Cloud Computing
TI  - 10.31586/ujcsc.2024.923
ER  -