EnNetForens: An Efficient Proactive Approach For Network Forensic

Malvankar, Rashmi Nilesh; Jain, Amit

doi:10.1109/iccisc52257.2021.9484865

Cited by 3 publications

(1 citation statement)

References 33 publications

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“…Such currencies, including but not limited to Bitcoin, Ethereum, and Litecoin, have unfortunately been appropriated for illicit activities ranging from money laundering and fraud to ransomware attacks. This has propelled the investigation of cryptocurrencies to the forefront of digital forensics disciplines [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Cryptocurrency Investigations in Digital Forensics: Contemporary Challenges and Methodological Advances

Raza,

Shaikh,

Tahira

2023

IDA

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Digital forensics, a crucial subset of cybersecurity, encompasses sophisticated tools and methodologies for the interpretation, analysis, and investigation of digital evidence, facilitating the identification and mitigation of cybercrimes and security breaches. With the advent of cryptocurrencies, an array of unique challenges has emerged in the domain of digital forensic investigations. This review elucidates the prevailing state of digital forensic practices vis-à-vis cryptocurrencies, emphasizing the obstacles and limitations inherent in probing decentralized and intricate technologies. Notable deficiencies in extant investigative practices were observed. Solutions proffered encompass the formulation of novel software applications tailored for cryptocurrency analyses, the integration of machine learning and artificial intelligence capabilities, and the employment of advanced analytics to discern patterns and irregularities within blockchain transactions. Furthermore, a pioneering methodology, merging traditional digital forensic strategies with blockchain-specific techniques, is posited for efficacious cryptocurrency inquiries. The analysis underscores the imperative for a renewed paradigm in digital forensic examinations to surmount the challenges integral to cryptocurrency probes. By forging novel methodologies and standardizing investigative procedures, support for legal enforcement endeavors can be enhanced, facilitating the efficacious detection and prosecution of cryptocurrency-associated misdemeanors.

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Section: Introductionmentioning

confidence: 99%

Cryptocurrency Investigations in Digital Forensics: Contemporary Challenges and Methodological Advances

Raza,

Shaikh,

Tahira

2023

IDA

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Digital Forensics Subdomains: The State of the Art and Future Directions

et al. 2021

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For reliable and relevant scientific evidence to be admitted in a court of law, it is important to apply digital forensic investigation techniques to corroborate a suspected potential security incident. Mainly, traditional digital forensics techniques have focused on computer desktops and servers. However, recent advances in digital media and platforms have seen an increased need for the application of digital forensic investigation techniques to other subdomains including small and mobile devices, databases, networks, cloudbased platforms, and the Internet of Things (IoT). To assist forensic investigators, conduct investigations within these subdomains, academic researchers have attempted to develop a number of investigative processes. However, many of these processes are domain-specific or describe domain-specific investigative tools. Hence, we hypothesize that the literature is littered with potentially overlapping and contradicting investigative process for conducting investigations within these subdomains. To investigate this hypothesis, a digital forensic model-orientated Systematic Literature Review (SLR) within the above digital forensic subdomains was undertaken. The purpose of the SLR was to identify the different and heterogeneous practices that have emerged within the specific subdomains. A key finding from the SLR is that there is a potential information overload and a high-degree of ambiguity among investigative processes in the above subdomains. The outcome of this study proposes a high-level abstract metamodel called The Digital Forensic Metamodel (DFM), which combines common processes, activities, techniques, and tasks for the above subdomains.

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A Detection and Investigation Model for the Capture and Analysis of Network Crimes

Alansari

2023

Eng. Technol. Appl. Sci. Res.

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Investigation in the field of network forensics involves examining network traffic to identify, capture, preserve, reconstruct, analyze, and document network crimes. Although there are different perspectives on the practical and technical aspects of network forensics, there is still a lack of fundamental guidelines. This paper proposes a new detection and investigation model for capturing and analyzing network crimes, using design science research. The proposed model involves six processes: identification, verification, gathering, preservation, examination, analysis, and documentation. Each process is associated with several activities that provide the investigation team with a clear picture of exactly what needs to be performed. In addition, the proposed model has a unique activity, namely reporting. As a result, this model represents a comprehensive approach to network forensics investigations. It is designed to work in conjunction with established forensic techniques to ensure that forensic evidence from the network is collected and analyzed efficiently and effectively following accepted forensic procedures. The proposed model was compared with existing models in terms of completeness, showing that it is complete and can be adapted to any type of network and legal framework.

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EnNetForens: An Efficient Proactive Approach For Network Forensic

Cited by 3 publications

References 33 publications

Cryptocurrency Investigations in Digital Forensics: Contemporary Challenges and Methodological Advances

Cryptocurrency Investigations in Digital Forensics: Contemporary Challenges and Methodological Advances

Digital Forensics Subdomains: The State of the Art and Future Directions

A Detection and Investigation Model for the Capture and Analysis of Network Crimes

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