Intelligent Systems for Cloud SAAS Forensic

Bandu B. Meshram; Varshapriya Jyotinagar; Vikash Mendhe

doi:10.48001/jowacs.2024.2131-41

Authors

Bandu B. Meshram RS NIMS, School of Law, NIMS University, Jaipur, Rajasthan, India
Varshapriya Jyotinagar Department of Computer Engineering and Information Technology, Veermata Jijabai Technological Institute, Mumbai, Maharashtra, India
Vikash Mendhe Senior Consultant at Office of the Governor, Austin Texas. Launch IT Corp. 4430 NW, Urbandale Dr, Urbandale IA 50322, USA

DOI:

https://doi.org/10.48001/jowacs.2024.2131-41

Keywords:

Analysis, Attacks, Challenges, Cloud environment, Evidence, Forensic investigation, Forensic tool, SaaSCar

Abstract

The rapid growth of Software-as-a-Service (SaaS) applications in cloud environments has introduced new challenges for digital forensics investigators. Traditional forensic methods are often insufficient to collect, preserve, and analyze digital evidence from cloud-based environments. To address these challenges, this scope will propose the development of an Intelligent System for Cloud SaaS Forensic (ISC-SF) for OpenStack environment. The ISC-SF will integrate machine learning algorithms with the SaaS model and will present the algorithms to design for attribute selection, machine learning model training, attack detection, evidence extraction, collection, and analysis. This paper provides an overview of OpenStack architecture, OpenStack services, and log locations. The ISC-SF aims to revolutionize the field of cloud SaaS forensic investigation by leveraging intelligent algorithms in a controlled cloud environment

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