The research on an electronic evidence forensic system for cross-border cybercrime

Zhang, H.; Gong, Xuejun

doi:10.1177/13657127231187059

Cited by 2 publications

(1 citation statement)

References 8 publications

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“…This ensures things are accused properly, and stops any altering of proofs. [18] demonstrated that cloud computing crosses national boundaries, making it difficult to investigate online crime due to disputes over who is in charge. It is essential to manage different legitimate guidelines, regulations and world arrangements while taking a gander at wrongdoings in Personal Computers that incorporate numerous regions.…”

Section: Data Privacy Challengesmentioning

confidence: 99%

Digital Forensic Investigation Standards in Cloud Computing

Egho-Promise,

Idahosa,

Asante

et al. 2024

UJCSC

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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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Section: Data Privacy Challengesmentioning

confidence: 99%