P2DF

Author:

Abulaish Muhammad1ORCID,Haldar Nur Al Hasan2,Jahiruddin Jahiruddin3

Affiliation:

1. South Asian University, India

2. The University of Western Australia, Australia

3. Department of Computer Science, Jamia Millia Islamia, India

Abstract

The extensive use of digital devices by individuals generates a significant amount of private data which creates challenges for investigation agencies to protect suspects' privacy. Existing digital forensics models illustrate the steps and actions to be followed during an investigation, but most of them are inadequate to investigate a crime with all the processes in an integrated manner and do not protect suspect's privacy. In this paper, we propose the development of a privacy-preserving digital forensics (P2DF) framework, which facilitates investigation through maintaining confidentiality of the suspects through various privacy standards and policies. It includes an access control mechanism which allows only authorized investigators to access private data and identified digital evidences. It is also equipped with a digital evidence preservation mechanism which could be helpful for the court of law to ensure the authenticity, confidentiality, and reliability of the evidences, and to verify whether privacy of the suspect was preserved during the investigation process.

Publisher

IGI Global

Subject

Software

Reference41 articles.

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2. BiSAL – A bilingual sentiment analysis lexicon to analyze Dark Web forums for cyber security

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4. Privacy-preserving email forensics.;F.Armknecht;Digital Investigation,2015

5. The Enhanced Digital Investigation Process.;M. V.Baryamureeba;Proceedings of the Digital Forensic Research Workshop,2004

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Survey Study of Digital Forensics: Challenges, Applications and Tools;2023 16th International Conference on Developments in eSystems Engineering (DeSE);2023-12-18

2. Digital Forensic Framework for Protecting Data Privacy during Investigation;ICST Transactions on Scalable Information Systems;2023-09-27

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