Dirty Metadata: Understanding A Threat to Online Privacy

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Author(s)Gouert, Charles
Author(s)Tsoutsos, Nektarios Georgios
Date Accessioned2022-04-06T17:19:00Z
Date Available2022-04-06T17:19:00Z
Publication Date2022-03-01
DescriptionCopyright 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. This article was originally published in [Journal Name]. The version of record is available at: https://doi.org/10.1109/MSEC.2022.3148091en_US
AbstractPeople have a certain expectation of privacy when using widespread and trusted online services. This study surveys several popular web applications to understand if uploaded user images are handled securely using open source digital forensics tools and a custom software framework.en_US
CitationC. Gouert and N. G. Tsoutsos, "Dirty Metadata: Understanding A Threat to Online Privacy," in IEEE Security & Privacy, doi: 10.1109/MSEC.2022.3148091.en_US
ISSN1558-4046
URLhttps://udspace.udel.edu/handle/19716/30755
Languageen_USen_US
PublisherIEEE Security and Privacyen_US
KeywordsMetadataen_US
KeywordsCamerasen_US
KeywordsPrivacyen_US
KeywordsSocial networking (online)en_US
KeywordsSoftwareen_US
KeywordsInstant messagingen_US
KeywordsImage resolutionen_US
TitleDirty Metadata: Understanding A Threat to Online Privacyen_US
TypeArticleen_US
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