基于看门狗的无线传感器网络信任内部威胁机制及防御方法

Youngho Cho, G. Qu, Yuanming Wu
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引用次数: 83

摘要

在无线传感器网络中,基于信任的方法被广泛用于对抗内部攻击,因为传统的基于密码的安全机制(如身份验证和授权)对此类攻击无效。信任模型是信任机制的核心组成部分,它提供了一种定量评估传感器节点可信度的方法。信任评估通常由看门狗节点进行,看门狗节点监控和收集其他传感器的行为信息。现有的大部分工作主要集中在信任模型的设计以及如何使用这些模型来防御某些内部攻击。然而,这些研究都是经验性的,隐含的假设是信任模型是安全可靠的。在本文中,我们讨论了监督机制和信任机制存在的几个安全漏洞,研究了内部攻击者如何利用这些安全漏洞,最后提出了可以减轻信任机制和监督机制弱点的防御方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Insider Threats against Trust Mechanism with Watchdog and Defending Approaches in Wireless Sensor Networks
Trust based approaches have been widely used to counter insider attacks in wireless sensor networks because traditional cryptography-based security mechanisms such as authentication and authorization are not effective against such attacks. A trust model, which is the core component of a trust mechanism, provides a quantitative way to evaluate the trustworthiness of sensor nodes. The trust evaluation is normally conducted by watchdog nodes, which monitor and collect other sensors' behavior information. Most existing works mainly focus on the design of the trust models and how these models can be used to defend against certain insider attacks. However, these studies are empirical with the implicit assumption that the trust models are secure and reliable. In this paper, we discuss several security vulnerabilities that watchdog and trust mechanisms have, examine how inside attackers can exploit these security holes, and finally propose defending approaches that can mitigate the weaknesses of trust mechanism and watchdog.
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