报告题目:On Efficient and Robust Anonymization for Privacy Protection
on Massive Streaming Categorical Information
报 告 人:张吉 博士
澳大利亚南昆士兰大学
报告时间:9月29日(周二)下午3:00-4:00
报告地点:学苑南楼五号楼二楼数计学院学术报告厅
报告简介:
Protecting users' privacy when transmitting a large amount of dataover the Internet is becoming increasingly important nowadays. In
this paper, we focus on the streaming categorical information and
propose a novel anonymization technique for providing a strong
privacy protection to safeguard against privacy disclosure and
information tampering. Our technique utilizes an innovative two-
phase anonymization approach which is very easy to implement,
highly efficient in terms of speed and communication and is robust
against possible tampering from adversaries.
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数学计算机科学学院
2015年9月27日