A Privacy Preserving Framework for Big Data in e-Government Environments

Autor:	Prokopios Drogkaris, Aristomenis Gritzalis
Rok vydání:	2015
Předmět:	Information privacy business.industry Computer science Big data Service provider Computer security computer.software_genre Identifier Analytics Central government business Personally identifiable information computer Anonymity
Zdroj:	Trust, Privacy and Security in Digital Business ISBN: 9783319229058 TrustBus
DOI:	10.1007/978-3-319-22906-5_16
Popis:	Big data is widely considered as the next big trend in e-Government environments but at the same time one of the most emerging and critical issues due to the challenges it imposes. The large amount of data being retained by governmental Service Providers that can be (potentially) exploited during Data Mining and analytics processes, include personal data and personally identifiable information, raising privacy concerns, mostly regarding data minimization and purpose limitation. This paper addresses the consideration of Central Government to aggregate information without revealing personal identifiers of individuals and proposes a privacy preserving methodology that can be easily incorporated into already deployed electronic services and e-Government frameworks through the adoption of scalable and adaptable salted hashing techniques.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::33ca0d4bd129b1fe490a2bc866a01852 https://doi.org/10.1007/978-3-319-22906-5_16 Zobrazit plný text záznamu