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Robust Range-Free Localization in Wireless Sensor Networks

机译:无线传感器网络中的稳健的无范围本地化

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摘要

In wireless sensor networks, sensors should have some mechanisms to learn their locations since sensed data without associated location information may be meaningless. While many sensor localization algorithms have been proposed, security issues in sensor localization are usually not addressed in their original design. Secure sensor localization is very challenging due to limited computation and energy resources in sensors. It is highly desirable that a localization scheme is robust and is able to detect malicious attacks without using complex cryptographic operations. In this paper, we present and analyze detection methods purely based on geometric constraints in sensor networks. Our detection methods can protect the localization algorithm from malicious attacks by detecting and eliminating the negative impact of fake information.
机译:在无线传感器网络中,传感器应具有一些机制来学习其位置,因为没有关联位置信息的感测数据可能毫无意义。尽管已经提出了许多传感器定位算法,但是传感器定位中的安全性问题通常在其原始设计中并未解决。由于传感器中有限的计算和能源,安全的传感器定位非常具有挑战性。高度期望的是,本地化方案是鲁棒的并且能够在不使用复杂的密码操作的情况下检测恶意攻击。在本文中,我们仅基于传感器网络中的几何约束提出并分析检测方法。我们的检测方法可以检测并消除伪造信息的负面影响,从而保护本地化算法免受恶意攻击。

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