Blowfish算法优化及其在WSN节点上的实现  

BLOWFISH ALGORITHM OPTIMISATION AND ITS IMPLEMENTATION ON WSN NODES

作　　者：谢琦[1] 曹雪芹[1] 

机构地区：[1]郑州大学信息工程学院,河南郑州450001

出　　处：《计算机应用与软件》2013年第7期318-320,330,共4页Computer Applications and Software

摘　　要：Blowfish加解密算法由Bruce Schneier于1993年11月提出,快速、安全、简单等特点使该算法得到了广泛的应用。针对WSN节点内存空间小、执行能力有限等特点,对Blowfish算法进行研究,从多个方面对算法进行优化,提出一种在WSN节点上高效运行并且占用较少RAM空间的实现方案,通过数据对比分析优化算法的性能。在CC2530处理器上实现的结果表明,Blowfish算法的优化方案可在WSN节点上运行并且占用了较少的RAM空间。该方案也可应用于存储空间较小的嵌入式系统中。Blowfish encryption and deeryption algorithm was put forward by Bruce Schneier in November 1993. Its characteristics of fast, safe and simple made it being widely used. In light of the features of the nodes of wireless sensor networks （WSN） such as small in memory space and limited in implementation capacity, we study the Blowfish algorithm and optimise it in many aspects. We propose an implementation scheme, which can effectively run on WSN nodes while consuming less random access memory （RAM）. The performance of optimisation algorithm is analysed by the comparison of the data. The results achieved on CC2530 processor show that the optimised scheme of Blowfish algorithm can execute efficiently on WSN nodes and consume less RAM memory. The method can also be applied to embedded systems with constrained memory space.

关 键 词：BLOWFISH 算法研究 算法优化 WSN节点 内存空间 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]