首页> 外文会议>IEEE International Conference on Distributed Computing in Sensor Systems(DCOSS 2006); 20060618-20; San Francisco,CA(US) >The Robustness of Localization Algorithms to Signal Strength Attacks: A Comparative Study
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The Robustness of Localization Algorithms to Signal Strength Attacks: A Comparative Study

机译:定位算法对信号强度攻击的鲁棒性:比较研究

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In this paper, we examine several localization algorithms and evaluate their robustness to attacks where an adversary attenuates or amplifies the signal strength at one or more landmarks. We propose several performance metrics that quantify the estimator's precision and error, including Holder metrics, which quantify the variability in position space for a given variability in signal strength space. We then conduct a trace-driven evaluation of several point-based and area-based algorithms, where we measured their performance as we applied attacks on real data from two different buildings. We found the median error degraded gracefully, with a linear response as a function of the attack strength. We also found that area-based algorithms experienced a decrease and a spatial-shift in the returned area under attack, implying that precision increases though bias is introduced for these schemes. We observed both strong experimental and theoretic evidence that all the algorithms have similar average responses to signal strength attacks.
机译:在本文中,我们研究了几种定位算法,并评估了它们对攻击者在一个或多个地标处衰减或放大信号强度的攻击的鲁棒性。我们提出了几种性能指标来量化估计器的精度和误差,包括Holder指标,这些指标针对信号强度空间中给定的可变性来量化位置空间中的可变性。然后,我们对几种基于点和基于区域的算法进行跟踪驱动的评估,在对​​来自两座不同建筑物的真实数据进行攻击时,我们评估了它们的性能。我们发现,中值误差随攻击强度的线性响应而逐渐降低。我们还发现,基于区域的算法在受到攻击的返回区域中经历了减少和空间移动,这意味着尽管为这些方案引入了偏差,但精度却有所提高。我们观察到了强有力的实验和理论证据,所有算法对信号强度攻击的平均响应相似。

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