DocumentCode :
3324233
Title :
Anonymizing Streaming Data for Privacy Protection
Author :
Li, Jianzhong ; Ooi, Eng Chin ; Wang, Eiping
Author_Institution :
Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., Harbin
fYear :
2008
fDate :
7-12 April 2008
Firstpage :
1367
Lastpage :
1369
Abstract :
In many applications, transaction data arrive in the form of high speed data streams. These data contain a lot of information about customers, not just transactions, and thus have to be carefully managed to protect customers´ privacy. This paper presents a novel method called SKY (stream K-anon Ymtiy) to continuously facilitate k-anonymity on data streams. Experimental results show that SKY is efficient and effective.
Keywords :
data privacy; database management systems; transaction processing; customer privacy; data transactions; high speed data streams; privacy protection; stream K-anon Ymtiy; streaming data; Application software; Books; Computer science; Data privacy; Engines; Intelligent systems; Joining processes; Protection; Telephony; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering, 2008. ICDE 2008. IEEE 24th International Conference on
Conference_Location :
Cancun
Print_ISBN :
978-1-4244-1836-7
Electronic_ISBN :
978-1-4244-1837-4
Type :
conf
DOI :
10.1109/ICDE.2008.4497558
Filename :
4497558
Link To Document :
بازگشت