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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhiguo Wan Kai Xing Yunhao Liu |
| Copyright Year | 2012 |
| Description | Author affiliation: MOE Key Lab for Information System Security, School of Software, Tsinghua National Lab for Information Science and Technology, Tsinghua University, China (Zhiguo Wan; Yunhao Liu) || School of Computer Science and Technology, University of Science and Technology, China (Kai Xing) |
| Abstract | Traffic analysis presents a serious threat to wireless network privacy due to the open nature of wireless medium. Traditional solutions are mainly based on the mix mechanism proposed by David Chaum, but the main drawback is its low network performance due to mixing and cryptographic operations. We propose a novel privacy preserving scheme based on network coding called Priv-Code to counter against traffic analysis attacks for wireless communications. Priv-Code is able to provide strong privacy protection for wireless networks as the mix system because of its intrinsic mixing feature, and moreover, it can achieve better network performance owing to the advantage of network coding. We first construct a hypergraph-based network coding model for wireless networks, under which we formalize an optimization problem whose objective function is to make each node have identical transmission rate. Then we provide a decentralized algorithm for this optimization problem. After that we develop an information theoretic metric for privacy measurement using entropy, and based on this metric we demonstrate that Priv-Code achieves stronger privacy protection than the mix system while achieving better network performance. |
| Starting Page | 73 |
| Ending Page | 81 |
| File Size | 621352 |
| Page Count | 9 |
| File Format | |
| ISBN | 9781467307734 |
| ISSN | 0743166X |
| e-ISBN | 9781467307758 |
| DOI | 10.1109/INFCOM.2012.6195820 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-03-25 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Optimization |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science Electrical and Electronic Engineering |
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