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AF: Small: Adversarial Models for Wireless Communication

AF: Small: Adversarial Models for Wireless Communication
AF:小:无线通信的对抗模型
批准号:
1116368
负责人:
Andrea Richa
金额:
$36.82万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-08-01 至 2014-07-31

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中文摘要
翻译
从算法的角度来看,基于无线通信的系统提出了标准网络中不存在的独特挑战。无线设备可能四处移动,并且这些设备之间的通信可能由于若干原因而中断,这些原因包括障碍物、背景噪声和由于来自自身无线网络的传输、来自试图中断通信的恶意干扰器的传输以及使用相同频带的共存网络的干扰问题。寻找合适的模型,一方面允许严格的设计和分析的协议,另一方面是有用的,在实践中是一个重大的挑战,值得重大的研究工作。我们将调查模型的无线通信,涵盖了广泛的物理层现象,但不够简单,使他们在理论和实践中是有用的。与以前的算法方法相比,我们的方法将是由于物理层问题(如背景噪声,障碍物,干扰等)建模通信问题。的帮助下的对手,并开发媒体访问(MAC)协议,可证明对这些对手强大。这种方法有许多有趣的应用。首先,它允许比以前的方法更一般的背景噪声场景,因为它涵盖了可能由于一些临时障碍或机器操作而产生干扰的突发情况。其次,对抗模型还可以让我们确定协议对无线干扰攻击的鲁棒性,无线干扰攻击是对标准协议的真实的威胁,例如802.11系列或简单传感无线设备网络(传统的物理层技术无法成功应用)。最后,对抗模型可以允许我们从无线网络中的远程设备的传输所引起的干扰问题中抽象出来。此外,我们还将专注于领导人选举和广播等重要应用。由于无线网络是许多广泛和/或关键系统的组成部分,因此拟议的研究将在几个方面产生影响,包括紧急服务,军事和危险地区的局域网的直接应用。此外,拟议中的研究也将对巩固与美国的国际合作产生影响。(德国帕德博恩)以及促进教育和增强多样性。
英文摘要
From an algorithmic point of view, systems based on wireless communication pose unique challenges that are not present in standard networks. Wireless devices may move around and communication between these devices can be disrupted for several reasons including obstacles, background noise, and interference problems due to transmissions from the own wireless network, from a malicious jammer trying to disrupt communication, as well as coexisting networks using the same frequency band. Finding suitable models that on one hand allow the rigorous design and analysis of protocols and on the other hand are useful in practice is a major challenge and deserves significant research efforts.We will investigate models for wireless communication that cover a wide range of physical layer phenomena and that are yet simple enough so that they are useful in theory and practice. In contrast to prior algorithmic approaches, our approach will be to model communication problems due to physical layer issues (such as ackground noise, obstacles, jammers, etc.) with the help of an adversary, and to develop medium access (MAC) protocols that are provably robust against these adversaries. Such an approach has many interesting applications. First, it allows for more general scenarios for the background noise than previous approaches as it covers bursty situations that might be due to some temporary obstacle or operation of a machine that creates interference. Second, the adversarial model would also allow us to determine how robust a protocol is against wireless jamming attacks, which are a real threat to standard protocols such as the 802.11 family or networks of simple sensing wireless devices (where traditional physical layer techniques cannot be successfully applied). Finally, the adversarial model may allow us to abstract from interference problems due to transmissions of far away devices in the wireless network. In addition, we will also focus on important applications such as leader election and broadcasting. Since wireless networks are a component of many widespread and/or critical systems, the proposed research will have an impact in several respects, including immediate applications to emergency services, the military, and local area networks in hazardous areas. Moreover, the proposed research will also have an impact in solidifying the international collaboration with the U. of Paderborn, Germany, and in advancing education and enhancing diversity.
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