[Paper Review] Digital and Cloud Forensic Challenges

Ahmed MohanRaj Alenezi|arXiv (Cornell University)|May 3, 2023

Digital and Cyber Forensics7 citations

TL;DR

This paper identifies and analyzes key challenges in digital and cloud forensics, including data acquisition, preservation, analysis, privacy, legal issues, and lack of standardization. Through a literature review, it synthesizes current obstacles and proposes that standardization, stakeholder collaboration, and specialized training are essential for improving evidence admissibility and investigative efficiency in digital and cloud environments.

ABSTRACT

Digital forensics and cloud forensics are increasingly important fields that face a range of challenges. This study aims to assess the general challenges faced in these fields. A literature review was conducted to identify the major challenges in digital and cloud forensics, including data acquisition, data analysis, data preservation, privacy concerns, and legal issues. The challenges were analyzed in detail, considering the reasons why they are challenges, the impact they have on digital and cloud forensics, and any potential solutions. The study concludes that the challenges faced in digital and cloud forensics are significant and varied, and that addressing these challenges is critical for the effective and efficient use of digital and cloud forensics in investigations. This study provides a valuable overview of the current state of digital and cloud forensic challenges and can help guide future research in this important field.

Motivation & Objective

• To identify and analyze the major challenges facing digital and cloud forensics in modern investigations.
• To examine the impact of technological complexity, dynamic cloud environments, and cross-jurisdictional legal frameworks on forensic processes.
• To assess the role of privacy, data protection, and evidence admissibility in undermining forensic effectiveness.
• To explore the financial and operational costs of preparing cloud environments for forensic readiness.
• To propose solutions such as standardization, collaboration among stakeholders, and professional training to address systemic challenges.

Proposed method

• Conducted a comprehensive literature review of peer-reviewed studies and reports on digital and cloud forensics from 2006 to 2023.
• Categorized challenges into five core areas: data acquisition, data analysis, data preservation, privacy concerns, and legal issues.
• Evaluated the root causes and impacts of each challenge using thematic analysis of existing research.
• Synthesized findings on the lack of standardization, dynamic cloud architectures, and cross-border jurisdictional complexities.
• Proposed systemic solutions including policy development, inter-agency collaboration, and forensic readiness frameworks.
• Emphasized the need for training forensic professionals and integrating cloud service providers into forensic workflows.

Experimental results

Research questions

• RQ1 What are the primary technical and procedural challenges in digital and cloud forensics?
• RQ2 How do privacy regulations and data protection laws affect the collection and handling of digital evidence?
• RQ3 Why is standardization a critical barrier in digital and cloud forensics, and what are its consequences?
• RQ4 How does the dynamic nature of cloud environments impact evidence preservation and forensic investigation timelines?
• RQ5 What role do legal and jurisdictional differences play in limiting the admissibility of digital evidence across international borders?

Key findings

• Cross-border jurisdictional issues significantly complicate digital and cloud forensic investigations due to conflicting legal and regulatory frameworks.
• The lack of standardization in digital and cloud forensics leads to inconsistencies in evidence collection, analysis, and court admissibility.
• Cloud environments' dynamic nature—characterized by rapid provisioning and de-provisioning—hinders the identification and preservation of relevant evidence.
• Privacy and data protection concerns are major obstacles, especially when handling personal data during forensic investigations.
• Preparing cloud environments for forensic readiness is costly, often requiring specialized tools or external consultants, which limits adoption in many organizations.
• Evidence admissibility is frequently challenged due to issues with chain of custody, authenticity, and reliability, particularly in cloud-based investigations.