A Systematic Study On Cloud Forensic Framework, Challenges And Technologies Used For Evidence Preservation

In this study we have focused on 3 research questions and tried to do analysis of that questions. The term "cloud computing" is wide yet ambiguous, encompassing a range of dynamically allocated services. Cloud computing can be seen as having two benefits and drawbacks for forensic analysis and legal applications. On the one hand, obtaining digital evidence from cloud sources could pose challenging legal and technological issues across jurisdictions. One potential remedy for these issues is the cloud forensic zero trust concept. A diligent and critical attitude to security is required when using the zero-trust model for cloud forensics, since no user or device can be considered completely trustworthy. In this paper we have proposed a zero trust model for security of evidence in cloud forensic. Cloud forensic investigations are crucial for identifying and analysing security incidents within cloud environments. By adopting a least privilege approach, organizations can minimize the attack surface and limit potential exposure to security risks. Additionally, leveraging encryption and strong identity management practices further strengthens the security of cloud forensic processes. Organizations may proactively identify and address security events in their cloud environments by combining threat detection tools and advanced security analytics. This proactive strategy improves the overall security posture and increases the efficacy of forensic investigations. This study outlined a number of debate points that paved the path for technological advancement in the future when it comes to crime scene evidence.

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Publication Details

Published
2024-10-17
DOI
https://doi.org/10.1109/icbds61829.2024.10837304
Primary Topic
Digital and Cyber Forensics
Type
article
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article

A Systematic Study On Cloud Forensic Framework, Challenges And Technologies Used For Evidence Preservation

Prashant Dhotre, S. T. Pirjade
Digital and Cyber Forensics
article

A Systematic Study On Cloud Forensic Framework, Challenges And Technologies Used For Evidence Preservation

Prashant Dhotre, S. T. Pirjade
article en

Abstract

In this study we have focused on 3 research questions and tried to do analysis of that questions. The term "cloud computing" is wide yet ambiguous, encompassing a range of dynamically allocated services. Cloud computing can be seen as having two benefits and drawbacks for forensic analysis and legal applications. On the one hand, obtaining digital evidence from cloud sources could pose challenging legal and technological issues across jurisdictions. One potential remedy for these issues is the cloud forensic zero trust concept. A diligent and critical attitude to security is required when using the zero-trust model for cloud forensics, since no user or device can be considered completely trustworthy. In this paper we have proposed a zero trust model for security of evidence in cloud forensic. Cloud forensic investigations are crucial for identifying and analysing security incidents within cloud environments. By adopting a least privilege approach, organizations can minimize the attack surface and limit potential exposure to security risks. Additionally, leveraging encryption and strong identity management practices further strengthens the security of cloud forensic processes. Organizations may proactively identify and address security events in their cloud environments by combining threat detection tools and advanced security analytics. This proactive strategy improves the overall security posture and increases the efficacy of forensic investigations. This study outlined a number of debate points that paved the path for technological advancement in the future when it comes to crime scene evidence.

MIT Art, Design and Technology University (IN)
Openalex Percentile: Top 59%
Digital and Cyber Forensics
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A Systematic Study On Cloud Forensic Framework, Challenges And Technologies Used For Evidence Preservation — Prashant Dhotre, S. T. Pirjade · (2024) | TGRS Research Map | TGRS