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计算机工程

• 安全技术 • 上一篇    下一篇

WSN中自适应多路径安全路由协议

林春立,崔杰   

  1. (安徽大学 计算机科学与技术学院,合肥 230039)
  • 收稿日期:2015-06-09 出版日期:2016-06-15 发布日期:2016-06-15
  • 作者简介:林春立(1990-),男,硕士研究生,主研方向为网络与信息安全;崔杰,教授。
  • 基金资助:
    安徽省科技攻关计划“科技强警”专项基金资助项目(1401b042015);安徽省高等学校自然科学研究基金资助重点项目(KJ2013A017)。

Adaptive Multipath Secure Routing Protocol in WSN

LIN Chunli,CUI Jie   

  1. (School of Computer Science and Technology,Anhui University,Hefei 230039,China)
  • Received:2015-06-09 Online:2016-06-15 Published:2016-06-15

摘要: 无线传感器网络采用多路径路由及数据分片提高网络的入侵容忍能力,分片及使用路径数量越多,数据传输的安全性越高,而需要的计算、存储及能量开销越大。针对上述问题,根据数据的安全等级选择传输方案,提出一种自适应多路径安全路由协议。通过按需路由的方式,以源节点两跳邻居节点为标识,建立多条不相交的路径,并评估路径的安全概率,由基站根据安全性要求选择多路径及分片参数,源节点利用加权门限秘密共享对数据进行分片,并沿多条路径传输。分析结果表明,与采用(t,n)门限的方案或RS编码进行数据分片的路由协议相比,该协议能够有效地减少计算时间和降低存储空间。

关键词: 无线传感器网络, 多路径路由, 加权门限秘密共享, 安全等级, 数据分片

Abstract: Wireless Sensor Network(WSN) uses multipath routings and data splitting to improve intrusion tolerance.It is more secure when using more roads and data fragments.However,larger computing,storage and energy costs are needed.Aiming at these problems,this paper presents an adaptive multipath secure routing protocol to provide diverse transmission scheme corresponding to data security level.Firstly,the protocol uses the neighbor nodes that are two hops away from the source node as the identity to build multiple disjoint routes from the source node to the destiny,and assesses the safety of each path based on on-demand routing.Secondly,the base station selects the routes and data fragmentation parameters according to the data security requirements.Finally,the source node uses the weighted threshold secret sharing scheme to fragment the data into multiple shares and transfers them to the base station through multiple paths.Analysis results show that,the protocol can reduce nodes’ computing time and storage space compared with the routing protocols using (t,n) threshold scheme and RS coding to fragment data.

Key words: Wireless Sensor Network(WSN), multipath routing, weighted threshold secret sharing, security level, data fragmentation

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