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.