| 摘要: |
| 无线传感器网络中已有的虚假数据过滤机制一般是在数据包后附加t个消息认证码(MAC),这类机制通常受到t门限值的限制,且难以支持动态路由.基于虚拟证人簇的思想,采用混淆多项式技术,用云团内部多个节点协作生成的方式构造认证多项式,加大了攻击难度;在此基础上提出的虚假数据过滤机制,能够即时验证数据的有效性,并且支持动态路由.理论分析和仿真实验结果表明,新算法不受t门限值的限制,随着传输跳数的增加,其节能效果更为明显,与已有的虚假数据过滤机制相比,抗俘获能力增强,更适用于可信度较低的网络以及远距离传输场景的应用. |
| 关键词: 无线传感器网络 虚假数据过滤 云团认证 多项式 |
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| 基金项目:Supported by the National High-Tech Research and Development Plan of China under Grant No.2006AA01Z227 (国家高技术研究发展计划(863)); the Natural Science Foundation of Hu’nan Province of China under Grant No.09JJ6097 (湖南省自然科学基金); the Project Supported by Scientific |
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| False Data Filtering Mechanism Based on Cloud-Built Authentication Model in Wireless Sensor Networks |
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PENG Ge,LIN Ya-Ping,YI Ye-Qing
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| Abstract: |
| Most of recent false data filtering mechanisms in WSN added t-MAC (Message Authentication Code) for the data packets, these mechanisms are usually restricted within the t-threshold safe limits, and do not support dynamic routing. Based on the idea of a virtual witnesses cluster, adopting the perturbation-based polynomial technology, this paper proposes a authentication algorithm that made a number of nodes within a cloud cooperate to generate the certification polynomial, adopting the perturbation-based polynomial technology and increasing the difficulty of an attack. On this basis, the proposed false data filtering mechanism can verify the validity of data immediately, and support dynamic routing. Theoretical analysis and simulation experiments show that the new method is not limited by the t-threshold and save as more energy as the transmission jump increasing. Compared with the other mechanisms, the method enhances the anti-trapping ability. It is more suitable for the network with low credibility and the long-distance transmission application. |
| Key words: wireless sensor network false data filtering cloud-built authentication polynomial |
