基于社会网络分析的无线Mesh网络资源安全使用机制研究

项目名称： 基于社会网络分析的无线Mesh网络资源安全使用机制研究

项目编号： No.61302071

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 无线电电子学、电信技术

项目作者： 于尧

作者单位： 东北大学

项目金额： 23万元

中文摘要： 任何通信技术一旦进入实用阶段，安全和资源消耗问题就成为最受关注的课题之一。近年来，社会网络分析技术作为一种研究行动者之间关系的分析方法，能够精确量化和分析各种关系，被视为研究行为结构问题最简单明朗、最具有说服力的研究手段。本项目聚焦实际应用场景下无线Mesh网络的资源安全使用问题，引入社会网络分析技术，从资源恶意消耗和过度保护两方面出发，建立高能效的无线Mesh网络资源安全使用算法及策略，在提高资源使用安全性的同时，降低网络的资源消耗。研究内容包括：探索基于攻击热点发掘的低能耗攻击检测机制，兼顾鲁棒性和适应性要求，解决资源恶意消耗问题；攻关基于凝聚子群的节点协作激励机制，增强节点的协作主动性，预防资源过度保护问题；研究基于链路风险评估的优化策略，更深入地保障资源合理使用，进一步提高网络抗攻击性能，形成对无线Mesh网络资源安全使用技术更全面的支持。

中文关键词： 无线Mesh网络；资源安全使用；社会网络分析；监测节点选择；

英文摘要： The issues of security and resource consumption become the most significant concerns when any new communication technique is applied in the real world. Recently, Social Network Analysis (SNA) emerges as a novel and effective approach, which studies the relationship between actors. SNA can quantify and analyze the relationship exactly and it is considered as the most simple and convincing approach, especially for the problem of behavior structure. In this project, we focus on the research of secure resource utilization issues in real Wireless Mesh Network (WMN) circumstance. We build the effective and efficient secure resource utilization schemes and algorithms based on SNA in WMN, to improve the security of resource utilization and reduce resource consumption. The main research contents include: Firstly, we present a low resource consumption attack detection mechanism to solve the malevolent resource consumption issue based on hot data mining, considering the robustness and adaptability. Secondly, we propose a node collaboration based incentive mechanism based on clique, which can enhance the cooperation between nodes and prevent excessive resource saving. Finally, we develop an optimization strategy based on link risk assessment to improve the resistance ability of network, which can give more comprehensive sup

英文关键词： Wireless Mesh Networks；Secure Resource Utilization；Social Network Analysis；Monitoring Nodes Selection；