期刊文献+

DCE融合粒子群评价的Web物流数据库安全访问

Logistics Database Security Access of Web Service Based on DCE Fusion Particle Swarm
下载PDF
导出
摘要 传统的Web服务物流数据库安全访问控制采用身份认证、密码等方式,对于普通的数据库非法访问具有一定的防范作用,但对于高伪装性的非法访问防护效果很差。提出一种DCE融合粒子群评价指导的Web物流数据库安全访问方法,采用DCE方法对访问者的身份做初步认证,在此基础上,通过粒子群算法,对访问者输入的验证信息进行处理,与实际数据库中存储的信息进行比对,最终识别非法访问。采用一组伪装的非法访问进行测试,结果显示,采用基于DCE融合粒子群评价指导的方法,系统的非法访问识别率提高了19%,具有很好的应用价值。 In traditional Web services logistics database security access control method, the authentication, password, etc. methods were used, and it had some effect to prevent unauthorized access to a certain role, but for high-camouflaged illegal access, the protection effect was poor. So the logistics database security access of web service with evaluation guidance of DCE fusion PSO was proposed, the DCE identity of visitors was used firstly to do the initial certification, on this basis, through the particle swarm algorithm, the authentication information was processed, and it was compared with the actual in-formation stored in the database, then the final identification of illegal access was allowed. A group of disguised illegal ac-cess was sued to do the test experiment, and the result shows that with evaluation guidance of DCE fusion PSO, the illegal access recognition rate increases by 19%, it has good application value.
作者 孙冬 李扬波
出处 《科技通报》 北大核心 2014年第8期95-97,共3页 Bulletin of Science and Technology
基金 河南省教育厅自然科学研究计划项目(2011B520010)
关键词 DCE 粒子群 WEB服务 物流数据库 dynamic credit evaluation particle swarm Web service logistics database
  • 相关文献

参考文献4

二级参考文献48

  • 1曾建潮,崔志华.一种保证全局收敛的PSO算法[J].计算机研究与发展,2004,41(8):1333-1338. 被引量:160
  • 2王勇,胡春明,杜宗霞.服务质量感知的网格工作流调度[J].软件学报,2006,17(11):2341-2351. 被引量:60
  • 3Watts D J, Strogatz S H. Collective dynamics of 'small- world' networks. Nature, 1998, 393(6638): 440-442.
  • 4Adamic L A, Huberman B A, Barabasi A L, Albert R, Jeong H, Bianconi G. Power-law distribution of the world wide web. Science, 2000, 28'7(5461): 2115a.
  • 5Girvan M, Newman M E J. Community structure in social and biological networks. Proceedings of National Academy of Sciences of the United States of America, 2002, 99(12): 7821-7826.
  • 6Yan G, Chen G, Lv J, Fu Z Q. Synchronization performance of complex oscillator networks. Physical Review E, 2009, 80(5): 056116.
  • 7Fortunato S. Community detection in graphs. Physics Re- ports, 2010, 486(3-5): 75-174.
  • 8Newman M E J, Girvan M. Finding and evaluating commu- nity structure in networks. Physical Review E, 2004, 69(2): 026113.
  • 9Newman M E J. Fast algorithm for detecting community structure in networks. Physical Review E, 2004, 69(6): 066133.
  • 10Guimera R, Amaral L A N. Functional cartography of com- plex metabolic networks. Nature, 2005, 433(7028): 895-900.

共引文献163

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部