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首页> 外文期刊>ACM transactions on sensor networks >Defending against Frequency-Based Attacks on Distributed Data Storage in Wireless Networks
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Defending against Frequency-Based Attacks on Distributed Data Storage in Wireless Networks

机译:防御无线网络中基于频率的分布式数据存储攻击

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摘要

As wireless networks become more pervasive, the amount of the wireless data is rapidly increasing. One of the biggest challenges of wide adoption of distributed data storage is how to store these data securely. In this work, we study the frequency-based attack, a type of attack that is different from previously well-studied ones, that exploits additional adversary knowledge of domain values and/or their exact/approximate frequencies to crack the encrypted data. To cope with frequency-based attacks, the straightforward 1-to-l substitution encryption functions are not sufficient. We propose a data encryption strategy based on 1-to-ra substitution via dividing and emulating techniques to defend against the frequency-based attack, while enabling efficient query evaluation over encrypted data. We further develop two frameworks, incremental collection and clustered collection, which are used to defend against the global frequency-based attack when the knowledge of the global frequency in the network is not available. Built upon our basic encryption schemes, we derive two mechanisms, direct emulating and dual encryption, to handle updates on the data storage for energy-constrained sensor nodes and wireless devices. Our preliminary experiments with sensor nodes and extensive simulation results show that our data encryption strategy can achieve high security guarantee with low overhead.
机译:随着无线网络的普及,无线数据量正在迅速增加。广泛采用分布式数据存储的最大挑战之一是如何安全地存储这些数据。在这项工作中,我们研究了基于频率的攻击,这种攻击不同于以前经过深入研究的攻击,它利用域值和/或其精确/近似频率的其他对手知识来破解加密数据。为了应对基于频率的攻击,直接的一对一替换加密功能还不够。我们提出了一种基于1-to-ra替换的数据加密策略,该策略通过划分和仿真技术来防御基于频率的攻击,同时实现对加密数据的有效查询评估。我们进一步开发了两个框架,即增量收集和群集收集,这两个框架可在网络中无法获得有关全局频率的知识时防御基于全局频率的攻击。基于我们的基本加密方案,我们导出了两种机制:直接仿真和双重加密,以处理能量受限的传感器节点和无线设备的数据存储更新。我们对传感器节点的初步实验和广泛的仿真结果表明,我们的数据加密策略可以以低开销实现高安全性保证。

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