Digital Forensics Investigation Reduction Model (DIFReM) Framework for Windows 10 OS

Shayau, Yazid Haruna; Asmawi, Aziah; Rum, Siti Nurulain Mohd; Ariffin, Noor Afiza Mohd

doi:10.1109/icsengt.2019.8906387

Cited by 2 publications

(1 citation statement)

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“…The Digital Forensic Investigation Reduction Model (DIFReM), coined by Shayau (2019), considers the forensic investigation steps proposed by the Digital Forensics Research Workshop to introduce a data reduction model that holds the capability of identifying the modified files, inserted files, and integrity verification through hashing. Several other models and approaches can be of value in crafting a technically well-versed forensic investigation platform (Krivchenkov, Misnevs, & Pavlyuk, 2018).…”

Section: Framework Of Intelligent Automation In Digital Forensicsmentioning

confidence: 99%

The impact of automation and artificial intelligence on digital forensics

Jarrett

Choo

2021

WIREs Forensic Science

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Artificial intelligence (AI; broadly defined to include Machine Learning and Deep Learning) and automation are two current and reciprocal computing disciplines. As such, AI‐powered software, programs, operating systems, and devices are developed on a massive scale to automate a wide variety of processes and operations. The principal aims of integrating AI and automation include efficiency, accuracy, and cost‐reduction. While there is still an on‐going cost associated with automation, the cost is typically many magnitudes smaller than the on‐going costs incurred to get the job done manually, which increases the likelihood of generating a high return on investment. One emerging application of AI and automation is digital forensics. For example, US Federal and State Law Enforcement Agencies have started exploring the utility of AI‐powered technology to make the job of digital forensics more impactful. This trend can maximize the accuracy of digital forensic investigations, enabling the resolution of more digital investigations. This article is categorized under: Digital and Multimedia Science > Cyber Threat Intelligence Digital and Multimedia Science > Artificial Intelligence Digital and Multimedia Science > Cybercrime Investigation

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Section: Framework Of Intelligent Automation In Digital Forensicsmentioning

confidence: 99%