基于位置的无线传感器网络配对密钥建立与数据认证

Cungang Yang, Jie Xiao
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引用次数: 11

摘要

传感器网络通常部署在无人值守的环境中,因此容易受到虚假数据注入攻击。攻击者经常在网络中注入虚假数据,以欺骗基站或耗尽中继节点的资源和能量。在大量传感器节点被破坏后,现有的身份验证机制无法阻止这种攻击。密钥对建立是无线传感器网络的基本安全保障,它使传感器节点之间使用加密技术进行安全通信成为可能。然而,由于传感器节点的资源和能量有限,采用传统的公钥/私钥加密和密钥分发中心(KDC)等密钥管理技术并不可行。本文提出了一种新的密钥管理和数据认证技术,可以安全地传递感知数据,并在传输到基站的过程中过滤掉虚假数据。我们的设计框架是将传感区域划分为多个位置单元,一组局部单元由一个逻辑单元组成,其中根据基于网格的二元多项式建立两个传感器节点之间的成对键。建立的成对密钥包含在消息验证码(MAC)中,并被转发几跳到基站进行数据验证。研究结果表明,该定位方案和数据认证方法在无线传感器网络中降低了通信开销,避免了t容忍,并过滤了虚假报告
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Location-Based Pairwise Key Establishment and Data Authentication for Wireless Sensor Networks
Sensor networks are often deployed in unattended environment, thus leaving those networks vulnerable to false data injection attacks. Attackers often inject false data into the network in order to deceive the base station or deplete the resource and the energy of the relaying nodes. The existing authentication mechanisms cannot prevent this kind of attack after an amount of sensor nodes have been compromised. Pairwise key establishment is a fundamental security in wireless sensor networks, which makes it possible that sensor nodes can communicate securely one another using cryptographic techniques. However, the limited resource and energy of sensor nodes are not feasible to use such traditional key management techniques as public/private cryptography and key distribution center (KDC). In this paper, we present a novel key management and data authentication technique that pass sensing data securely and filter false data out on its way to base station. The framework of our design is to divide sensing area into a number of location cells and a group of local cells consist of a logical cell, where, pairwise key between two sensor nodes is established according to the grid-based bivariate polynomials. The established pairwise key is included in the message authentication code (MAC) and is forwarded several hops down to the base station for data authentication. Our result shows that this location scheme and data authentication method decreases communication overhead, avoids t-tolerance, and filters bogus report in wireless sensor networks
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