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Secrecy Transfer for Sensor Networks: From Random Graphs to Secure Random Geometric Graphs Cover

Secrecy Transfer for Sensor Networks: From Random Graphs to Secure Random Geometric Graphs

By: Zhihong Liu,  Jianfeng Ma and  Yong Zeng  
Open Access
|Feb 2013

Abstract

Suppose n nodes with n0 acquaintances per node are randomly deployed in a two-dimensional Euclidean space with the geographic restriction that each pair of nodes can exchange information between them directly only if the distance between them is at most r, the acquaintanceship between nodes form a random graph, while the physical communication links constitute a random geometric graph. To get a fully connected and secure graph, we introduce a secrecy transfer algorithm which combines the random graph and the random geometric graph via an introduction process to produce an acquaintanceship graph Gn,n0. We find that the maximum component of graph Gn,n0 transitions rapidly from small components to a giant component when n0 is larger than a threshold, the threshold is derived, and applications for sensor networks are presented.

Language: English
Page range: 77 - 94
Submitted on: Oct 2, 2012
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Accepted on: Jan 6, 2013
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Published on: Feb 20, 2013
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2013 Zhihong Liu, Jianfeng Ma, Yong Zeng, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.