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Authors: Jose Martinez Rivera ; Luis Medina Ramos and Amir H. Chinaei

Affiliation: Univeristy of Puerto Rico, United States

Keyword(s): Security, Privacy, Web Server, Email, HTML, JavaScript.

Related Ontology Subjects/Areas/Topics: Authentication and Intrusion Detection ; Business Analytics ; Data and Application Security and Privacy ; Data Engineering ; Data Privacy and Security ; Databases and Data Security ; Information and Systems Security ; Ontologies and the Semantic Web ; Predictive Modeling ; Web Analytics ; Web Information Systems and Technologies ; Web Interfaces and Applications ; Web Personalization

Abstract: User’s private data might be secretly retrieved for or against them every time they browse the web or use email services. This study addresses how these services could secretly retrieve such data. While users may appreciate these techniques as a means of protecting them from hacking, fraud, etc., they may have some privacy concerns against them. We have implemented two approaches to demonstrate how such data retrievals help web and email services to properly identify a user. We have also conducted extensive experiments to measure the success rates of our approaches. Results show 86.217% successful identification for web services and 81.1% successful identification of emails that were attempted to be sent anonymously.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Martinez Rivera, J.; Medina Ramos, L. and Chinaei, A. (2015). Non-consent Data Retrieval While using Web or Email Services. In Proceedings of 4th International Conference on Data Management Technologies and Applications - DATA; ISBN 978-989-758-103-8; ISSN 2184-285X, SciTePress, pages 316-325. DOI: 10.5220/0005549703160325

@conference{data15,
author={Jose {Martinez Rivera}. and Luis {Medina Ramos}. and Amir H. Chinaei.},
title={Non-consent Data Retrieval While using Web or Email Services},
booktitle={Proceedings of 4th International Conference on Data Management Technologies and Applications - DATA},
year={2015},
pages={316-325},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005549703160325},
isbn={978-989-758-103-8},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of 4th International Conference on Data Management Technologies and Applications - DATA
TI - Non-consent Data Retrieval While using Web or Email Services
SN - 978-989-758-103-8
IS - 2184-285X
AU - Martinez Rivera, J.
AU - Medina Ramos, L.
AU - Chinaei, A.
PY - 2015
SP - 316
EP - 325
DO - 10.5220/0005549703160325
PB - SciTePress