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» From Data Privacy to Location Privacy: Models and Algorithms
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USS
2010
15 years 3 months ago
P4P: Practical Large-Scale Privacy-Preserving Distributed Computation Robust against Malicious Users
In this paper we introduce a framework for privacypreserving distributed computation that is practical for many real-world applications. The framework is called Peers for Privacy ...
Yitao Duan, NetEase Youdao, John Canny, Justin Z. ...
CSE
2009
IEEE
15 years 7 months ago
Mining Mobility Behavior from Trajectory Data
The technologies of mobile communications and ubiquitous computing pervade our society, and wireless networks sense the movement of people and vehicles, generating large volumes o...
Fosca Giannotti, Mirco Nanni, Dino Pedreschi, Chia...
ICDE
2005
IEEE
121views Database» more  ICDE 2005»
16 years 7 months ago
Top-Down Specialization for Information and Privacy Preservation
Releasing person-specific data in its most specific state poses a threat to individual privacy. This paper presents a practical and efficient algorithm for determining a generaliz...
Benjamin C. M. Fung, Ke Wang, Philip S. Yu
DCOSS
2009
Springer
16 years 18 days ago
Detection and Localization Sensor Assignment with Exact and Fuzzy Locations
Sensor networks introduce new resource allocation problems in which sensors need to be assigned to the tasks they best help. Such problems have been previously studied in simplifi...
Hosam Rowaihy, Matthew P. Johnson, Diego Pizzocaro...
ASIACRYPT
2011
Springer
14 years 6 months ago
Noiseless Database Privacy
Differential Privacy (DP) has emerged as a formal, flexible framework for privacy protection, with a guarantee that is agnostic to auxiliary information and that admits simple ru...
Raghav Bhaskar, Abhishek Bhowmick, Vipul Goyal, Sr...