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基于快速随跳与信任度的嵌入式动态安全组网技术 被引量:1

An Embedded Dynamic Security Networking Technology Based on Quick Jump and Trust
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摘要 安全快捷的嵌入式系统组网是下一代嵌入式系统与网络系统融合发展的瓶颈。传统的嵌入式系统组网技术要么忽略网络系统的安全性,要么忽略网络系统的快速组网要求,无法两者兼备。提出一种基于快速随跳动态组网与信任度的嵌入式系统安全组网技术,系统组网时,采用基于多个组网节点间的随机跳动,快速切换,实现最优化网络搜寻的方法。网络搜寻完成后,通过信任度机制保障网络系统访问的安全性,同时达到组网的快速性与安全性。采用一组10节点的系统进行测试实验,结果显示,采用基于快速随跳技术与信任度的组网技术,系统的安全隐患分布可以被准确检测出来,从而实现安全入网,具有很好的网络系统安全防护应用价值。 Safe and efficient networking of embedded systems was the integration development bottleneck for the next generation of embedded systems and network systems .In conventional networking technology of embedded systems , either the network security or network efficiency was ignored , so a better performance cannot be achieved .An embedded dynamic security networking tech-nology based on quick jump and trust was proposed , and the multiple network nodes based on a random beating of fast switching were used to achieve optimal network search .When the Web search was completed , the trust mechanisms were taken to protect the security of the network system access , while achieving rapid networking and security .A set of 10-node was used to test the system, the result shows that with quick jump and trust , the systems security risk distribution can be accurately detected , enab-ling secure network , so it is of good network system security application .
作者 张书锋
出处 《计算机与现代化》 2015年第5期107-111,共5页 Computer and Modernization
关键词 快速随跳 信任度 安全组网 嵌入式系统 quick jump trust security networking embedded system
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  • 1吴春明,陈治,姜明.蚁群算法中系统初始化及系统参数的研究[J].电子学报,2006,34(8):1530-1533. 被引量:47
  • 2马溪骏,潘若愚,杨善林.基于信息素递减的蚁群算法[J].系统仿真学报,2006,18(11):3297-3300. 被引量:18
  • 3曾玲,黄益盛.无线传感器网络的安全保密技术研究[J].信息安全与通信保密,2007,29(8):83-84. 被引量:4
  • 4Basturk B, Karaboga D. An artificial bee colony (ABC) algorithm for numeric function optimization[C]//Proceedings of IEEE Swarm Intelligence Symposium Indianapolis. Indianapdis, USA" [s. n. ], 2006:651 - 656.
  • 5Fathian M, Amiri B, Maroosi A. Application of honey bee mating optimization algorithm on clustering[J]. Applied Mathematics and Computation, 2007 (10) : 1016 - 1025.
  • 6Von Frisch K. The dance language and orientation of bees[M]. Boston, Massachusetts, USA.. The Belknap Press of Harvard University Press, 1967.
  • 7Abbass H A. Arriage in honey-bee optimization (MBO) : a haplometrosis polygynous swarming approach [C]//Proceedings of The Congress on Evolutionary Computation (CEC2001). Seoul, Korea: [s. n. ], 2001:207 - 214.
  • 8Gutin G, Punnen A. The traveling salesman problem and its variations[M]. Dordrecht, Holland: Kluwer Academic Publishers, 2002.
  • 9Afshar A, Bozog H O, Marino M A. Honey-bee mating optimization (HBMO) algorithm for optimal reservoir operation [J]. Journal of the Franklin Institute, 2007,344: 452 - 462.
  • 10Haddad O B, Afshar A, Marino M A. Honey-bees mating optimization (HBMO) algorithm: a new heuristic approach for water resources optimization[J]. Water Resources Management, 2006,20 : 661 - 680.

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