Protecting Digital Data Privacy in Computer Forensic Examination

F. Law, Patrick P. F. Chan, S. Yiu, K. Chow, M. Kwan, Hayson Tse, P. Lai
{"title":"Protecting Digital Data Privacy in Computer Forensic Examination","authors":"F. Law, Patrick P. F. Chan, S. Yiu, K. Chow, M. Kwan, Hayson Tse, P. Lai","doi":"10.1109/SADFE.2011.15","DOIUrl":null,"url":null,"abstract":"Privacy is a fundamental human right defined in the Universal Declaration of Human Rights. To enable the protection of data privacy, personal data that are not related to the investigation subject should be excluded during computer forensic examination. In the physical world, protection of privacy is controlled and regulated in most countries by laws. Legislation for handling private data has been established in various jurisdictions. In the modern world, the massive use of computers generates a huge amount of private data and there is correspondingly an increased expectation to recognize and respect human rights in digital investigation. However, there does not exist a forensically sound model for protecting private data in the context of digital investigation, and it poses a threat to privacy if the investigation involves the processing of such kind of data. In this paper, we try to address this important issue and present a cryptographic model designed to be incorporated into the current digital investigation framework, thereby adding a possible way to protect data privacy in digital investigation.","PeriodicalId":264200,"journal":{"name":"2011 Sixth IEEE International Workshop on Systematic Approaches to Digital Forensic Engineering","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"38","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Sixth IEEE International Workshop on Systematic Approaches to Digital Forensic Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SADFE.2011.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 38

Abstract

Privacy is a fundamental human right defined in the Universal Declaration of Human Rights. To enable the protection of data privacy, personal data that are not related to the investigation subject should be excluded during computer forensic examination. In the physical world, protection of privacy is controlled and regulated in most countries by laws. Legislation for handling private data has been established in various jurisdictions. In the modern world, the massive use of computers generates a huge amount of private data and there is correspondingly an increased expectation to recognize and respect human rights in digital investigation. However, there does not exist a forensically sound model for protecting private data in the context of digital investigation, and it poses a threat to privacy if the investigation involves the processing of such kind of data. In this paper, we try to address this important issue and present a cryptographic model designed to be incorporated into the current digital investigation framework, thereby adding a possible way to protect data privacy in digital investigation.
在电脑法证检验中保障数码资料私隐
隐私是《世界人权宣言》规定的一项基本人权。为保障资料私隐,在进行电脑法证检验时,应排除与调查对象无关的个人资料。在现实世界中,大多数国家都是通过法律来控制和规范隐私保护的。各司法管辖区已就处理私人资料订立法例。在现代社会,计算机的大量使用产生了大量的私人数据,相应地,人们对数字调查中承认和尊重人权的期望也越来越高。然而,在数字调查的背景下,目前还没有一个法医学上合理的保护私人数据的模式,如果调查涉及到处理这类数据,就会对隐私构成威胁。在本文中,我们试图解决这一重要问题,并提出了一个旨在纳入当前数字调查框架的加密模型,从而增加了一种在数字调查中保护数据隐私的可能方法。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信