Sources of error in digital forensics

IF 2 4区 医学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Forensic Science International-Digital Investigation Pub Date : 2024-02-09 DOI:10.1016/j.fsidi.2024.301693
Graeme Horsman
{"title":"Sources of error in digital forensics","authors":"Graeme Horsman","doi":"10.1016/j.fsidi.2024.301693","DOIUrl":null,"url":null,"abstract":"<div><p>The occurrence of errors in forensic practice is inevitable, and whilst we may not feel comfortable with the idea, the truth of it must be acknowledged. At a time where forensic science is under intense scrutiny regarding the quality of its work, there has never been a greater need for it. In relation to the field of digital forensics (DF), the support it offers law enforcement is fundamental to many of its inquiries, and ensuring the reliability and accuracy of its services is vital. Errors in forensic practice can have far-reaching consequences for all those involved in an investigation, and practitioners and their organisations must take steps to identify, mitigate and manage them. This work focuses on the concept of error in relation to the field of DF. It first explores what an error is and the language used to describe one before mapping potential sources of error against the stages of the DF investigative process. This is done to assist those in the DF field to identify error sources, what they are and where they come from, and to facilitate the attribution of errors to a source, helping them to address them effectively.</p></div>","PeriodicalId":48481,"journal":{"name":"Forensic Science International-Digital Investigation","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2024-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666281724000027/pdfft?md5=a69a4f57d3fba7816aa8f76efd5e88d0&pid=1-s2.0-S2666281724000027-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Forensic Science International-Digital Investigation","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666281724000027","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

The occurrence of errors in forensic practice is inevitable, and whilst we may not feel comfortable with the idea, the truth of it must be acknowledged. At a time where forensic science is under intense scrutiny regarding the quality of its work, there has never been a greater need for it. In relation to the field of digital forensics (DF), the support it offers law enforcement is fundamental to many of its inquiries, and ensuring the reliability and accuracy of its services is vital. Errors in forensic practice can have far-reaching consequences for all those involved in an investigation, and practitioners and their organisations must take steps to identify, mitigate and manage them. This work focuses on the concept of error in relation to the field of DF. It first explores what an error is and the language used to describe one before mapping potential sources of error against the stages of the DF investigative process. This is done to assist those in the DF field to identify error sources, what they are and where they come from, and to facilitate the attribution of errors to a source, helping them to address them effectively.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
数字取证中的错误来源
在法医实践中出现错误是不可避免的,尽管我们可能对这种想法感到不舒服,但必须承认它的真实性。在法医学的工作质量受到严格审查的今天,我们比以往任何时候都更需要法医学。就数字取证(DF)领域而言,它为执法部门提供的支持是许多调查的基础,确保其服务的可靠性和准确性至关重要。法证实践中的错误会对所有参与调查的人员产生深远影响,从业人员及其组织必须采取措施识别、减少和管理这些错误。这项工作的重点是与 DF 领域相关的错误概念。它首先探讨了什么是错误以及描述错误的语言,然后将错误的潜在来源与 DF 调查过程的各个阶段相对应。这样做是为了帮助 DF 领域的人员识别错误来源、错误是什么以及错误从何而来,并促进将错误归因于某个来源,从而帮助他们有效地解决这些问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
5.90
自引率
15.00%
发文量
87
审稿时长
76 days
期刊最新文献
Forensically analyzing IoT smart camera using MAoIDFF-IoT framework Examining and detecting academic misconduct in written documents using revision save identifier numbers in MS Word as exemplified by multiple scenarios Editorial Board Navigating the digital labyrinth: Forensics in the age of AI Forensic analysis and data decryption of tencent meeting in windows environment
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1