Title: Cloud computing-based computer forensics: a deep learning technique

Authors: D. Kalaiyarasi; S. Leopauline; S. Krishnaveni; Ashok Vajravelu

Addresses: Department of Electronics and Communication Engineering, Panimalar Engineering College, Chennai-600123, India ' Department of Electronics and Communication Engineering, Veltech Multitech Dr. Rangarajan and Dr. Sakunthala Engineering College, Avadi, Chennai, India ' Department of Information Technology, S.A. Engineering College, Chennai-600077, India ' Department of Electronics, Faculty of Electrical Engineering, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia

Abstract: Forensics on the cloud is an addition of forensic research that safeguards against cybercriminals. The development of technologies that use the cloud to store, retrieve, and archive data has resulted in changes to these processes. Our method for monitoring users' information makes use of graph theory-based deep neural networks embedded in smart contracts (GNNSC). Finally, an evidence graph that is built on a blockchain makes it possible to analyse evidence. It is suggested that this Scheme be used to get the most accurate predictions during the process of looking into log data and separating it into normal and strange entries. The VLCS method is used to find the best solution. It is based on a modified cuckoo search algorithm with a variational parameter and a logistic map. The cloud forensics solution methodologies needed to conduct effective investigations are included in the suggested taxonomy.

Keywords: cloud computing; edge computing; computer forensics; forensic software tools; digital forensic.

DOI: 10.1504/IJESDF.2024.138355

International Journal of Electronic Security and Digital Forensics, 2024 Vol.16 No.3, pp.317 - 328

Received: 13 Oct 2022
Accepted: 14 Dec 2022
Published online: 01 May 2024 *

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