Estimating real world privacy risk scenarios (CROSBI ID 627679)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Vuković, Marin ; Skočir, Pavle ; Katušić, Damjan ; Jevtić, Dragan ; Trutin, Daniela ; Delonga, Luka
engleski
Estimating real world privacy risk scenarios
User privacy is becoming an issue on the Internet due to common data breaches and various security threats. Services tend to require private user data in order to provide more personalized content and users are typically unaware of potential risks to their privacy. This paper continues our work on the proposed user privacy risk calculator based on a feedforward neural network. Along with risk estimation, we provide the users with real world example scenarios that depict privacy threats according to selected input parameters. In this paper, we present a model for selecting the most probable real world scenario, presented as a comic, and thus avoid overwhelming the user with lots of information that he/she may find confusing. Most probable scenario estimations are performed by artificial neural network that is trained with real world scenarios and estimated probabilities from real world occurrences. Additionally, we group real world scenarios into categories that are presented to the user as further reading regarding privacy risks.
user privacy; risk scenario; privacy risk calculator
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Podaci o prilogu
1-7.
2015.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 13th International Conference on Telecommunications
Plank, Thomas
Graz: Graz University of Technology
978-1-4799-8971-3
Podaci o skupu
The 13th International Conference on Telecommunications
predavanje
13.07.2015-15.07.2015
Graz, Austrija