Obfuscation of Documents using Randomly Generated Steps

Data privacy in photos is an important subject that is a major concern in today's world, especially given the compromising data it can contain or the rate at which the information can flow through the Internet. In this paper, we are proposing an approach that can mitigate the danger of sharing...

Full description

Saved in:
Bibliographic Details
Published inProcedia computer science Vol. 207; pp. 1581 - 1590
Main Authors Irimia, Cosmin, Irimia, Roxana, Milea, Robert, Ilas, Silviu, Vasiliu, Ana, Iftene, Adrian
Format Journal Article
LanguageEnglish
Published Elsevier B.V 2022
Subjects
Computer vision
Face recognition
Image obfuscation
Image processing
Key-based image protection
Key-based image protection
Computer vision
Image obfuscation
Image processing
Face recognition
Online AccessGet full text

Cover

More Information
Summary:Data privacy in photos is an important subject that is a major concern in today's world, especially given the compromising data it can contain or the rate at which the information can flow through the Internet. In this paper, we are proposing an approach that can mitigate the danger of sharing things like documents or personal images on the Internet. Our solution to this problem would be to obfuscate these images and documents with a set of randomly generated steps that would alter their content until the owner wants to access them again. Initially, the proposed solution can automatically identify faces, and has support for custom obfuscation on multiple defined areas. After that, it offers the possibility to export the keys separately for each of these areas, allowing at the time of deobfuscation access only to the desired areas.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2022.09.215