An efficient and robust privacy protection technique for massive streaming choice-based information

Zhang, Ji and Liu, Xuemei and Luo, Yonglong (2013) An efficient and robust privacy protection technique for massive streaming choice-based information. In: 22nd ACM International Conference on Information and Knowledge Management (CIKM 2013), 27 Oct - 1 Nov 2013, San Francisco, CA. United States.

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Protecting users' privacy when transmitting a large amount of data over the Internet is becoming increasingly important nowadays. In this paper, we focus on the streaming choice-based 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 encoding-and-decoding approach which is very easy to implement, highly efficient in terms of speed and communication, and is robust against possible tampering from adversaries. The experimental evaluation demonstrates the promising performance of our technique.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Poster)
Refereed: Yes
Item Status: Live Archive
Additional Information: Accepted version deposited in accordance with the copyright policy of the publisher.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences
Date Deposited: 20 May 2014 04:28
Last Modified: 29 Nov 2017 02:17
Uncontrolled Keywords: privacy protection; anonymization; choice-based information
Fields of Research : 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining
08 Information and Computing Sciences > 0804 Data Format > 080402 Data Encryption
08 Information and Computing Sciences > 0803 Computer Software > 080303 Computer System Security
Socio-Economic Objective: B Economic Development > 89 Information and Communication Services > 8901 Communication Networks and Services > 890199 Communication Networks and Services not elsewhere classified
Identification Number or DOI: 10.1145/2505515.2507816

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