Protecting Digital Footprints: A Selective Web History Sanitization Tool for Domestic Violence Survivors

This study introduces a novel solution that is designed to protect the privacy of domestic violence survivors when seeking online support. It enables survivors to access essential online resources without leaving digital footprints that may lead to further abuse by their violent partners. The study employs the principles of the design science framework to develop and evaluate a system for selective web history sanitization. The implemented system effectively deletes traces related to support websites while preserving unrelated browsing history to avoid the abuser’s suspicion, ensuring both usability and privacy. This work contributes a novel artifact that addresses a critical societal challenge, providing domestic violence survivors with a secure, adaptive, and privacy-preserving tool to seek online supports with confidence. It offers a significant step forward in protecting and empowering vulnerable populations, particularly those with limited technical expertise in the digital age. Additionally, this work offers practical insights for organizations that support survivors by advocating for the development and use of privacy-focused tools and practices to make their digital services more effective and safer.

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Publication Details

Journal
Kurdistan Journal of Applied Research
Published
2025-04-20
DOI
https://doi.org/10.24017/science.2025.1.7
Primary Topic
Privacy, Security, and Data Protection
Type
article
Field-Weighted Citation Impact
0.00
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article

Protecting Digital Footprints: A Selective Web History Sanitization Tool for Domestic Violence Survivors

Rozha K. Ahmed, Silvia Lips, Zryan Najat Rashid
Kurdistan Journal of Applied Research
Privacy, Security, and Data Protection
article

Protecting Digital Footprints: A Selective Web History Sanitization Tool for Domestic Violence Survivors

Rozha K. Ahmed, Silvia Lips, Zryan Najat Rashid
article en

Abstract

This study introduces a novel solution that is designed to protect the privacy of domestic violence survivors when seeking online support. It enables survivors to access essential online resources without leaving digital footprints that may lead to further abuse by their violent partners. The study employs the principles of the design science framework to develop and evaluate a system for selective web history sanitization. The implemented system effectively deletes traces related to support websites while preserving unrelated browsing history to avoid the abuser’s suspicion, ensuring both usability and privacy. This work contributes a novel artifact that addresses a critical societal challenge, providing domestic violence survivors with a secure, adaptive, and privacy-preserving tool to seek online supports with confidence. It offers a significant step forward in protecting and empowering vulnerable populations, particularly those with limited technical expertise in the digital age. Additionally, this work offers practical insights for organizations that support survivors by advocating for the development and use of privacy-focused tools and practices to make their digital services more effective and safer.

Kurdistan Journal of Applied ResearchVol. 10(1)
Tallinn University of Technology (EE), Sulaimani Polytechnic University (IQ)
Openalex Percentile: Top 90%
Privacy, Security, and Data Protection
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