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arXiv 0808.2591cs.CRcs.NI
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GossiCrypt:无线传感器网络对抗寄生对手的数据保密

GossiCrypt: Wireless Sensor Network Data Confidentiality Against Parasitic Adversaries

Jun Luo, Panos Papadimitratos, Jean-Pierre Hubaux

摘要:

资源和成本限制仍然是无线传感器网络安全的一个挑战。在本文中,我们提出了一种新的方法来保护机密性对寄生的对手,试图利用传感器网络获得测量在未经授权的方式。我们的低复杂性解决方案GossiCrypt利用大规模传感器网络来高效地保护机密性。GossiCrypt通过在源节点上进行对称密钥加密并在通往sink的途中随机选择的节点子集上重新加密来保护数据。此外,它采用密钥刷新,以减轻加密密钥的物理危害。我们验证GossiCrypt分析和模拟,显示它保护数据的机密性与概率几乎为1。此外,与使用公钥数据加密的系统相比,GossiCrypt的能耗要低一到三个数量级。

英文摘要:

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 one to three orders of magnitude lower.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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