Privacy-Preserving Digital Forensics: Balancing Investigation Needs and User Rights

Louay Karadsheh, Hazem Al-Najjar, Amine Nehari-Talet

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Modern criminal investigations are important and raise privacy issues in digital forensics. The goal of this study is to develop a privacy-preserving framework for digital forensics that makes it possible to balance effective investigation with individual privacy rights. In this work, we present an innovative framework for privacy-preserving digital forensics, which incorporates data minimization techniques with selective imaging and privacy-preserving data analysis methods. The approach is validated with a collection of case studies and a series of simulations, which show that the approach reduces privacy intrusions while maintaining investigative integrity. Results indicate up to a 40 % reduction in exposure of non-relevant personal data compared to traditional approaches with no loss of evidence collection quality. We recommend how to implement privacy-respecting digital forensic practices to policymakers. This paper adds practical solutions for investigators and legal professionals in ethical digital forensics.

Original languageEnglish
Title of host publication2025 1st International Conference on Computational Intelligence Approaches and Applications, ICCIAA 2025 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331523657
DOIs
StatePublished - 2025
Event1st International Conference on Computational Intelligence Approaches and Applications, ICCIAA 2025 - Amman, Jordan
Duration: 28 Apr 202530 Apr 2025

Publication series

Name2025 1st International Conference on Computational Intelligence Approaches and Applications, ICCIAA 2025 - Proceedings

Conference

Conference1st International Conference on Computational Intelligence Approaches and Applications, ICCIAA 2025
Country/TerritoryJordan
CityAmman
Period28/04/2530/04/25

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

Keywords

  • data min-imization
  • digital forensics
  • investigative ethics
  • privacy preservation
  • selective imaging

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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