Reputation-based framework for high integrity sensor networks

Reputation-based framework for high integrity sensor networks
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DOI：
10.1145/1029102.1029115
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发表时间：
2004-10
期刊：
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影响因子：
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通讯作者：
S. Ganeriwal;M. Srivastava
S. Ganeriwal;M. Srivastava
中科院分区：
其他
文献类型：
--
作者：
S. Ganeriwal;M. Srivastava

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提供网络安全的传统方法是借用密码学和身份验证工具。然而，我们认为，传统的观点，仅基于密码学的安全性是不够的，传感器网络中遇到的独特的特点和新颖的不当行为。这一点的基础是观察到密码学无法防止来自内部对手或故障节点的恶意或非恶意数据插入。我们认为，在一般的工具，从不同的领域，如经济学，统计学和数据分析将不得不与密码学相结合的发展值得信赖的传感器网络。按照这种方法，我们提出了一个基于声誉的框架，传感器网络中的节点维护其他节点的声誉，并使用它来评估自己的可信度。我们将表明，这个框架提供了一个可扩展的，多样化的和通用的方法来对付恶意和故障节点造成的所有类型的不当行为。我们目前正在开发一个系统，在这个框架内，我们采用贝叶斯公式，特别是一个beta信誉系统，信誉表示，更新和集成。我们将解释我们的设计选择背后的原因，分析其优点和缺点。我们通过一些初步的模拟结果来验证该系统的有效性，从而结束本文。
The traditional approach of providing network security has been to borrow tools from cryptography and authentication. However, we argue that the conventional view of security based on cryptography alone is not sufficient for the unique characteristics and novel misbehaviors encountered in sensor networks. Fundamental to this is the observation that cryptography cannot prevent malicious or non-malicious insertion of data from internal adversaries or faulty nodes. We believe that in general tools from different domains such as economics, statistics and data analysis will have to be combined with cryptography for the development of trustworthy sensor networks. Following this approach, we propose a reputation-based framework for sensor networks where nodes maintain reputation for other nodes and use it to evaluate their trustworthiness. We will show that this framework provides a scalable, diverse and a generalized approach for countering all types of misbehavior resulting from malicious and faulty nodes. We are currently developing a system within this framework where we employ a Bayesian formulation, specifically a beta reputation system, for reputation representation, updates and integration. We will explain the reasoning behind our design choices, analyzing their pros & cons. We conclude the paper by verifying the efficacy of this system through some preliminary simulation results.