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CORR
2008
Springer

GossiCrypt: Wireless Sensor Network Data Confidentiality Against Parasitic Adversaries

9 years 1 months ago
GossiCrypt: Wireless Sensor Network Data Confidentiality Against Parasitic Adversaries
Resource and cost constraints remain a challenge for wireless sensor network security. In this paper, we propose a new approach to protect confidentiality against a parasitic adversary, which seeks to exploit sensor networks by obtaining measurements in an unauthorized way. Our low-complexity solution, GossiCrypt, leverages on the large scale of sensor networks to protect confidentiality efficiently and effectively. GossiCrypt protects data by symmetric key encryption at their source nodes and re-encryption at a randomly chosen subset of nodes en route to the sink. Furthermore, it employs key refreshing to mitigate the physical compromise of cryptographic keys. We validate GossiCrypt analytically and with simulations, showing it protects data confidentiality with probability almost one. Moreover, compared with a system that uses public-key data encryption, the energy consumption of GossiCrypt is from tens to thousands of times lower.
Jun Luo, Panos Papadimitratos, Jean-Pierre Hubaux
Added 09 Dec 2010
Updated 09 Dec 2010
Type Journal
Year 2008
Where CORR
Authors Jun Luo, Panos Papadimitratos, Jean-Pierre Hubaux
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