Forensics Analysis of Cloud-Computing Traffics

Abstract

The objective of forensic analysis of cloud computing traffic is to identify any suspicious or malicious behavior in network activities within cloud computing settings. This includes examining network connections, data transfer patterns, and data payloads. To effectively analyze cloud computing traffic associated with IoT devices, it is imperative to understand cloud infrastructure and network protocols. The prevalence of IoT devices in cloud environments necessitates efficient forensic analysis techniques to address security incidents. Considering the distinctive attributes of IoT devices and the decentralized nature of cloud environments, this paper investigates the challenges and considerations related to forensic analysis in cloud computing systems incorporating IoT devices. The framework we present includes comprehensive guidelines about data collection, preservation, analysis, and forensic analysis in IoT-based cloud computing systems. As well as providing practical case studies, we demonstrate how our framework works in real-world scenarios involving IoT-based cloud computing. Providing tangible solutions to the forensic challenges specific to IoT-based cloud computing systems, the findings of this research contribute significantly to a better understanding of these challenges.