DocumentCode :
3031941
Title :
Preserving Privacy in Assistive Technologies
Author :
Goo, S.K. ; Irvine, J.M. ; Andonovic, I. ; Tomlinson, A.
Author_Institution :
Dept. of EEE, Univ. of Strathclyde, Glasgow, UK
fYear :
2009
fDate :
14-18 June 2009
Firstpage :
1
Lastpage :
6
Abstract :
Assistive technologies enable individuals to perform a function that might be difficult or they otherwise are unable to do. However, the provision of context-awareness interfaces and accessible information everywhere bring with them the potential for data violations, with concomitant privacy issues such as spying and exploitation. Privacy preservation can thus constrain deployment. The aim of this paper is to promote user sensitiveness in privacy policy and tackle malicious data extraction and selling, with the focus on assistive technologies for a diverse mix of services for use in applications ranging from healthcare to smart shopping.
Keywords :
data mining; data privacy; ubiquitous computing; assistive technologies; context-awareness interfaces; data extraction; data mining; healthcare; privacy policy; privacy preservation; smart shopping; Data mining; Data privacy; Distributed computing; Humans; Information security; Medical conditions; Medical services; Mobile computing; Pervasive computing; Ubiquitous computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications Workshops, 2009. ICC Workshops 2009. IEEE International Conference on
Conference_Location :
Dresden
Print_ISBN :
978-1-4244-3437-4
Type :
conf
DOI :
10.1109/ICCW.2009.5208079
Filename :
5208079
Link To Document :
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