Quantifying Source Location Privacy Routing Performance via Divergence and Information Loss
Author:
Affiliation:
1. School of Computing and Communications, Lancaster University, Lancaster, U.K.
2. Department of Computer Science, University of Warwick, Coventry, U.K.
Funder
Engineering and Physical Sciences Research Council (EPSRC) through Doctoral Training Grant
Security Lancaster
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Safety, Risk, Reliability and Quality
Link
http://xplorestaging.ieee.org/ielx7/10206/9652463/09930814.pdf?arnumber=9930814
Reference35 articles.
1. On the design and quantification of privacy preserving data mining algorithms
2. Divergence measures based on the Shannon entropy
3. On Information and Sufficiency
4. A Near-Optimal Source Location Privacy Scheme for Wireless Sensor Networks
5. Deconstructing source location privacy-aware routing protocols
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