Examination of Digital Forensics Software Tools Performance: Open or Not?

Dizdarević, Andrea; Baraković, Sabina; Husić, Jasmina Baraković

doi:10.1007/978-3-030-24986-1_35

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…The development of cameras, computers, and portable electronics is another. [36] highlights the massive data of DF challenge, especially in the Internet of Things (IoT), and suggested a data modification process in DF by distinguishing the imaging in a massive amount of forensic data. [37] emphasized DF process limitations with cloud atmosphere like volatility, namely records, data integrity, and creation of the forensic image.…”

Section: Challengesmentioning

confidence: 99%

Digital Investigations: Navigating Challenges in Tool Selection for Operating System Forensics

Kausar Parveen

2024

IJECI

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The process of gathering, identifying, extracting, and documenting electronic evidence for use in court is known as "digital forensics." We have a lot of tools at our disposal to make this procedure quick and straightforward. Four tools have been selected for investigation and analysis in this work. For every kind of digital forensics, the top tools have been selected based on several criteria. For computer forensic tools, (Stellar and Forensic Tool Kit) have been investigated; for network forensic tools, Network Map has been selected, and OSF mount has been examined as a live forensic tool. Other forensic tool types, such as database, operating system, and mail forensic tools, are also covered in this work. The role of Artificial intelligence in Digital Forensic tools has been discussed in this paper by using both Decision Stump and Bayes net machine learning techniques. After making an investigation of the IoT device traffic dataset using these two techniques, Decision Stump gives us less accurate results compared with Bayes net.

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Section: Challengesmentioning

confidence: 99%

Digital Investigations: Navigating Challenges in Tool Selection for Operating System Forensics

Kausar Parveen

2024

IJECI

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“…Stellar [33] FTK [34] Pro discover [35] Autopsy [36] Encase [37] Cyber check suit [38] User Table 2 shows a comparison between five network forensic tools according to various key parameters like open port scanning which is the process of analyzing the security of all the ports in a network. It detects any vulnerabilities in packet data.…”

Section: Featurementioning

confidence: 99%

Digital Forensic Tools: A Literature Review

Salih¹,

Dabagh²

2023

JES

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Digital forensics is a process of collection, identification, extraction, and documentation of electronic evidence which is used in a court of law. There are a large number of tools that help us to make this process easy and simple. In this paper, four tools have been chosen to explore and study. The best digital forensic tools have been chosen according to different parameters in each type of digital forensics. The (Stellar) basis tool and (Forensic Tool Kit) have been explored for computer forensic tools while (Network Map) has been chosen for network forensic tools and (OSFmount) has been studied as a live forensic tool. This paper also covers other types of forensic tools like Database forensic tools, O.S. forensic tools, and Mail forensic tools. The role of Artificial intelligence in Digital Forensic tools has been discussed in this paper by using both Decision Stump and Bayes net machine learning techniques. After making an investigation of the IoT device traffic dataset using these two techniques, Decision Stump gives us less accurate results compared with Bayes net.

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