Information Fusion-Based Digital Forensics Framework in Cloud Environment

Peng, Liwen; Luo, Jing; Li, Jin

doi:10.1109/icaibd49809.2020.9137434

Cited by 3 publications

(3 citation statements)

References 15 publications

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“…To separate the relevance evidence in the information layer, voting-k-means approach is used. Deep learning techniques will be applied in future research in the cloud computing environment for digital forensics to enhance clustering [19], [20].…”

Section: Cloudmentioning

confidence: 99%

Enhancements in the world of digital forensics

Vaddi,

Kamble,

Vaingankar

et al. 2024

IJ-AI

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<p>Currently, the rapid advancement of computer systems and mobile phones has resulted in their utilization in unlawful acts. Ensuring adequate and effective security measures poses a difficult task due to the intricate nature of these devices, thereby exacerbating the challenges associated with investigating crimes involving them. Digital forensics, which involves investigating cyber crimes, plays a crucial role in this realm. Extensive research has been conducted in this field to aid forensic investigations in addressing contemporary obstacles. This paper aims to explore the progress made in the applications of digital forensics and security, encompassing various aspects, and provide insights into the evolution of digital forensics over the past five years.</p>

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Section: Cloudmentioning

confidence: 99%

Enhancements in the world of digital forensics

Vaddi,

Kamble,

Vaingankar

et al. 2024

IJ-AI

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“…Our methodology is to collect all previous ideas in one framework and resolve uncovered challenges such as: data collection, standardization, and legality. For instance, we used the idea of a central server for collecting evidence as presented in [15,16,17,18]. We provide CSP forensics as a service; it is inspired by a client service named LAUXUS proposed in [6].…”

Section: Microservices Forensics As a Service (Msfaas) Frameworkmentioning

confidence: 99%

“…As an example, [25] used Deep Learning (DL) to enhance the forensics prediction on the Internet of Things (IoT) environment. Other researchers identify the normal and malicious data using the Machine Learning (ML) fusion methodology [17]. In addition, others used Arti cial Intelligence (AI) to detect broken authentication [26].…”

Section: Table 1 Literature Framework Comparisonmentioning

confidence: 99%

MsFaaS: Microservices Forensics as a Service

Shehata¹,

Aslan²

2023

Preprint

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The rapid increase in using cloud services leads to the rise of unlimited cyber threats. Due to the distributed architect nature, services like Software as a Service (SaaS) are hard to be monitored. Consequently, in digital crimes, the investigator faces several forensics challenges. Mainly, in collecting data and presenting acceptable electronic evidence at the court. While most researchers went towards the external investigator’s responsibility, fewer researchers went to the Cloud Service Provider’s (CSP) responsibility. In literature, no complete framework that resolves all challenges and succeeds in presenting trusted evidence to the court has been suggested. In the present paper, we propose a framework named Microservices Forensics as a Service (MsFaaS) that suggests solutions to resolve open challenges. Since the CSP holds the crime scene and there is a global legal responsibility against digital crimes, MsFaaS relies on enforcing international law and putting the responsibility on both CSP and local authorities where the victim/attacker and CSP operate. We collect several data types and use event reconstruction methodology to build a comprehensive crime scene in both live and postmortem scenarios. In addition, MsFaaS provides a validation service against man-in-the-middle attacks microservices. It also triggers a response action to virtual machines incidents and external attacks; finally, the framework is helpful for auditing and recording the external and internal traffic inside the cloud environment. As a result, the service provided by the framework offers an evidence report that is certified by the local authority which can be accepted in a digital crime trial.

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Application and Comparative Analysis of Machine Learning-Based Cloud Digital Forensics

Shin,

Shon

2024

dcs

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Information Fusion-Based Digital Forensics Framework in Cloud Environment

Cited by 3 publications

References 15 publications

Enhancements in the world of digital forensics

Enhancements in the world of digital forensics

MsFaaS: Microservices Forensics as a Service

Application and Comparative Analysis of Machine Learning-Based Cloud Digital Forensics

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