Anonymizing Streaming Data for Privacy Protection
Jianzhong Li, Beng Chin Ooi, Weiping Wang · 2008
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-anonYmity) to continuously facilitate k-anonymity on data streams. Experimental results show that SKY is efficient and effective.