| Towards event source unobservability with minimum network traffic in sensor networks |
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Conference On Wireless Network Security
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Proceedings of the first ACM conference on Wireless network security
table of contents
Alexandria, VA, USA
SESSION: Sensor network security
table of contents
Pages 77-88
Year of Publication: 2008
ISBN:978-1-59593-814-5
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Authors
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Yi Yang
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The Pennsylvania State University, University Park, PA
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Min Shao
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The Pennsylvania State University, University Park, PA
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Sencun Zhu
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The Pennsylvania State University, University Park, PA
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Bhuvan Urgaonkar
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The Pennsylvania State University, University Park, PA
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Guohong Cao
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The Pennsylvania State University, University Park, PA
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Downloads (6 Weeks): 7, Downloads (12 Months): 154, Citation Count: 4
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ABSTRACT
Sensors deployed to monitor the surrounding environment report such information as event type, location, and time when a real event of interest is detected. An adversary may identify the real event source through eavesdropping and traffic analysis. Previous work has studied the source location privacy problem under a local adversary model. In this work, we aim to provide a stronger notion: event source unobservability, which promises that a global adversary cannot know whether a real event has ever occurred even if he is capable of collecting and analyzing all the messages in the network at all the time. Clearly, event source unobservability is a desirable and critical security property for event monitoring applications, but unfortunately it is also very difficult and expensive to achieve for resource-constrained sensor network. Our main idea is to introduce carefully chosen dummy traffic to hide the real event sources in combination with mechanisms to drop dummy messages to prevent explosion of network traffic. To achieve the latter, we select some sensors as proxies that proactively filter dummy messages on their way to the base station. Since the problem of optimal proxy placement is NP-hard, we employ local search heuristics. We propose two schemes (i) Proxy-based Filtering Scheme (PFS) and (ii) Tree-based Filtering Scheme (TFS) to accurately locate proxies. Simulation results show that our schemes not only quickly find nearly optimal proxy placement, but also significantly reduce message overhead and improve message delivery ratio. A prototype of our scheme was implemented for TinyOS-based Mica2 motes.
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CITED BY 4
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Yi Ouyang , Zhengyi Le , Donggang Liu , James Ford , Fillia Makedon, Source location privacy against laptop-class attacks in sensor networks, Proceedings of the 4th international conference on Security and privacy in communication netowrks, September 22-25, 2008, Istanbul, Turkey
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