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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: A MODEL FOR PREDICTING DIGITAL FORENSIC REINVENTION BY 2032 IN NIGERIA
Authors Name: E. C. NWOSU , C. C. IBEBUOGU , E. A. DUROHA
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IJRTI_184569
Published Paper Id: IJRTI2211042
Published In: Volume 7 Issue 11, November-2022
DOI:
Abstract: Digital Forensics is relatively new in Nigeria, and whose incubation system available is insufficient to meet the demands explosion of higher Case loads and current internet multimedia devices, services and application intensive environment of cybercrimes has posed serious problems of incomplete web transactions. Stakeholders, security and law enforcement agencies in Nigeria are unwilling and feel reluctant to embrace digital forensics that will overcome the prevalent challenges inherent to cybercrimes in Nigeria because of inhibiting factors. This needs urgent readiness to overcome the tractions that are responsible for apathy to high rate of cybercrimes. If nothing is done, sometime, it may lead to corporate failure, the agencies may suffer disillusionment and frustration. The objective of this study therefore is to design a model for predicting Digital Forensics refinement from Federal level to reach Local Government level in order to reduce the cybercrime rate in Nigeria by 2032 based on growth trend developed from statistical indices. The essence is to explore and analyze the factors that can encourage emergence and advancement of digital forensics true rewarding in the next 10 years, predicted to grow between 2022 – 2032, and use those factors to forecast growth, so that Digital Forensic Investigation and Legal evidences in court of law will receive boost in terms of growth and patronage. The studies also aim at designing a predictive model that simulates the behaviour of the restrictive policies on digital forensic advancement so as to ascertain the current impact on non-motivation, lack of standard, proper management, lack of proper human digital interface and unwillingness to overcome prevalent challenges inherent to cyber crimes in Nigeria. The motivation behind this study is to identify the inhibiting factors responsible for lack of standard motivation to embrace digital forensics in Nigeria. The methodologies that were deployed in packaging the model include: the Statistical Methodology, Structured Systems Analysis and Design Methodology (SSADM) and prototyping. The result is indeed functional software, programmed through Visual Basic Net (VB.Net) that can be used to simulate the behavioural impact of any government policy formulation for Information and Communication Technology Industry and Stakeholders. This is recommended to serve as a watchdog in curbing and checkmating cybercrimes and ensuring Digital Forensics true rewarding and flourish in Nigeria.
Keywords: Model, Predicting Digital Forensics, Cybercrimes, Reinvention, inhibiting factors.
Cite Article: "A MODEL FOR PREDICTING DIGITAL FORENSIC REINVENTION BY 2032 IN NIGERIA", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 11, page no.264 - 273, November-2022, Available :http://www.ijrti.org/papers/IJRTI2211042.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2211042
Registration ID:184569
Published In: Volume 7 Issue 11, November-2022
DOI (Digital Object Identifier):
Page No: 264 - 273
Country: -, -, Nigeria
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2211042
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2211042
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

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