Skip to content
Research Article Open access CC BY 4.0

Cloud Computing Forensics; Challenges and Future Perspectives: A Review

Burak Cinar, Jasmin Praful Bharadiya

Asian Journal of Research in Computer Science · pp. 1–14 · Published 24 May 2023

10.9734/ajrcos/2023/v16i1330

Abstract

Cloud computing has become increasingly popular in recent years, evolving into a computing paradigm that is both cost-effective and efficient. It has the potential to be one of the technologies that has had the most significant impact on computing throughout its history. Regrettably, cloud service providers and their customers have not yet developed major forensic tools that can assist with the investigation of criminal conduct that occurs in the cloud. Because it is difficult to prevent cloud vulnerabilities and criminal targeting, it is necessary to be aware of how digital forensic investigations of the cloud may be carried out. This is because cloud vulnerabilities and criminal targeting are difficult to avoid. In this context, the current study examines current and future trends in cloud forensics, methodology for cloud forensics, and cloud forensic tools. In addition, the study also looks at cloud forensic approaches.

Cloud computing cloud forensic forensic tools software as a service

Cited by 34

Mayfly algorithm with elementary functions and mathematical spirals for task scheduling in cloud computing system

Xiao-Fei Sui, Si-Wen Zhang, Jie-Sheng Wang · The Journal of Supercomputing · 2025

Web-Based Simulator for Forensic Analysis of Cloud Security Incidents Using Audit Logs

Kummari Venkatesh, Damojipurapu Venkata Sai Sruthi, Balasani Sumana · 2025 2nd International Conference on Software, Systems and Information Technology (SSITCON) · 2025

Performance Assessment of Batch Arrival of Tasks in Cloud Data Center

Bibhuti Bhusan Dash, Rabinarayan Satpathy, Sudhansu Shekhar Patra · 2024 IEEE 3rd World Conference on Applied Intelligence and Computing (AIC) · 2024

A Survey on Intelligent Network Operations and Performance Optimization Based on Large Language Models

Sifan Long, Jingjing Tan, Bomin Mao · IEEE Communications Surveys & Tutorials · 2025

Allocating constraint tasks schedules to promote on-demand cloud services by utilizing the Hungarian Algorithm

Nesreen Alsharman, Ismail Hababeh, Mohammad Alqudah · PeerJ Computer Science · 2025

GPU Memory Requirement Prediction for Deep Learning Task Based on Bidirectional Gated Recurrent Unit Optimization Transformer

Chao Wang, Zhizhao Wen, Ruoxin Zhang · 2025 5th International Conference on Artificial Intelligence, Virtual Reality and Visualization (AIVRV) · 2025

Cloud-based configurable data stream processing architecture in rural economic development

Haohao Chen, Fadi Al-Turjman · PeerJ Computer Science · 2024

Optimizing Cloud Computing Energy Consumption Prediction Using Convolutional Neural Networks with Bidirectional Gated Cycle Unit

Xinyue Han · 2025 4th International Symposium on Computer Applications and Information Technology (ISCAIT) · 2025

Advancements in AI for Computational Biology and Bioinformatics: A Comprehensive Review

Viswanathan Nalina, Dhamodharan Prabhu, Jesudass Joseph Sahayarayan · Methods in Molecular Biology · 2025

Towards Sustainable Intelligence

Ipseeta Satpathy, Debashree Chakravarty, Vishal Jain · Advances in Computational Intelligence and Robotics · 2025

Showing 20 of 34 known citations — external sources report more than can currently be individually listed.

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

34

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.