Forensics Analysis of Cloud-Computing Traffics

Abstract

Forensic analysis of cloud computing traffic involves investigating and analyzing network traffic within cloud computing environments to detect suspicious or malicious activities. This includes examining network connections, data transfer patterns, and data payloads. A comprehensive understanding of cloud infrastructure and network protocols is essential for effectively analyzing IoT-based cloud computing traffic. The growing utilization of IoT devices in cloud environments necessitates efficient forensic analysis methods to investigate and respond to security incidents. This paper addresses the challenges and considerations associated with forensic analysis in IoT-based cloud computing systems, taking into account the unique characteristics of IoT devices and the distributed nature of cloud environments. We propose a framework for conducting forensic analysis in IoT-based cloud computing systems, which encompasses guidelines for data collection, preservation, and analysis. Additionally, we present case studies demonstrating the efficacy of our proposed framework in real-world IoT-based cloud computing scenarios. The outcomes of this research contribute to a deeper understanding of the forensic challenges in IoT-based cloud computing systems and offer practical solutions to overcome them