• Wednesday, Sep 16th, 2026

International Journal of Advanced Research in Arts, Science, Engineering & Management (IJARASEM)

(A High Impact Factor, Monthly, Peer Reviewed Journal)

Article

TITLE An Efficient Approach to Forensic Investigation in Cloud using VM Snapshots: A Survey
ABSTRACT Cloud computing has transformed modern computing and data storage practices, yet it presents unique challenges for digital forensic investigations due to its distributed architecture, multi-tenancy, and limited investigator control. Traditional forensic procedures based on physical access and disk acquisition are unsuitable in virtualized cloud environments. Virtual Machine (VM) snapshots offer a promising method to acquire forensic evidence without disrupting cloud services. This survey analyzes existing methods, tools, and models enabling forensic investigation using VM snapshots and evaluates their efficiency, reliability, scalability, and legal compliance. The study concludes that VM snapshot–based forensics, when combined with chain of custody management and automated recovery mechanisms, can serve as a scalable and minimally intrusive alternative to traditional forensic acquisition techniques.
AUTHOR PRATIKSHA UNDRE, TRUPTI DIVATE, SUKRUTA LOMTE, PRERANA DESHMUKH
VOLUME 9
ISSUE 2
PDF 7_An Efficient Approach to Forensic Investigation in Cloud Using VM Snapshots A Survey.pdf
KEYWORDS
References 1. Alqahtany, S., Clarke, N., Furnell, S., & Reich, C. (2020). A forensic acquisition framework for cloud environments. Journal of Cloud Computing, 9(15), 1–22.
2. Birk, D., & Wegener, C. (2011). Technical challenges of forensic investigations in cloud computing environments. IEEE International Workshop on Systematic Approaches to Digital Forensic Engineering, 1–10.
3. Ruan, K., Carthy, J., Kechadi, T., & Crosbie, M. (2013). Cloud forensics: Challenges and opportunities. Future Generation Computer Systems, 29(7), 1567–1577.
4. Taylor, M., Haggerty, J., Gresty, D., & Hobbs, V. (2020). Forensic investigation in cloud computing environments: Reviewing and future research directions. Digital Investigation, 33, 200–215.
5. Martini, B., & Choo, K.-K. R. (2014). Distributed cloud storage forensics: Analysis of data remnants on live cloud VMs. Computers & Security, 48, 137–150.

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