Risk-based modelling for managing privacy protection

Autor:	Afshan Samani, Jagath Samarabandu, Hamada Ghenniwa
Rok vydání:	2012
Předmět:	Information privacy Engineering Privacy by Design business.industry Privacy software Context (language use) Computer security computer.software_genre Clinical decision support system Work (electrical) Risk assessment business computer Risk management
Zdroj:	CCECE
DOI:	10.1109/ccece.2012.6335045
Popis:	Privacy is one of the challenges in Cooperative Distributed Systems (CDSs) in open environments where entities can desirably work collaboratively. One way of dealing with this challenge is to evaluate the negative risk of operations on shared information in a collaborative setting. In this paper, we propose a Hierarchical Fuzzy Inference System (HFIS) to assess risk of privacy violation during the interaction among entities. In this work, we have identified and categorized major influential elements of privacy and adapted them as the base for the proposed HFIS. The accuracy of the risk assessment system in managing privacy situations is verified and validated against predefined privacy violation scenarios.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::feb0b3518ca5a0fe327709a636699af0 https://doi.org/10.1109/ccece.2012.6335045 Zobrazit plný text záznamu