An efficient and robust privacy protection technique for massive streaming choice-based information
Paper
Paper/Presentation Title | An efficient and robust privacy protection technique for massive streaming choice-based information |
---|---|
Presentation Type | Paper |
Authors | Zhang, Ji (Author), Liu, Xuemei (Author) and Luo, Yonglong (Author) |
Editors | He, Qi and Iyengar, Arun |
Journal or Proceedings Title | Proceedings of the 22nd ACM International Conference on Information and Knowledge Management (CIKM 2013) |
ERA Conference ID | 42291 |
Number of Pages | 4 |
Year | 2013 |
Place of Publication | New York, NY. United States |
ISBN | 9781450322638 |
Digital Object Identifier (DOI) | https://doi.org/10.1145/2505515.2507816 |
Conference/Event | 22nd ACM International Conference on Information and Knowledge Management (CIKM 2013) |
ACM International Conference on Information and Knowledge Management | |
Event Details | ACM International Conference on Information and Knowledge Management CIKM Rank A A A A A A |
Event Details | 22nd ACM International Conference on Information and Knowledge Management (CIKM 2013) Parent ACM International Conference on Information and Knowledge Management Event Date 27 Oct 2013 to end of 01 Nov 2013 Event Location San Francisco, United States |
Abstract | 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. |
Keywords | privacy protection; anonymization; choice-based information |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
460401. Cryptography | |
460499. Cybersecurity and privacy not elsewhere classified | |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | Centre for Systems Biology |
Faculty of Business, Education, Law and Arts | |
Anhui Normal University, China | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q24xq/an-efficient-and-robust-privacy-protection-technique-for-massive-streaming-choice-based-information
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