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基于航迹关联和证据理论的数据融合方法研究 被引量:2

Research on data fusion based on the track association and evidence theory
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摘要 入侵检测技术从20世纪80年代开始就被世人所研究,而多传感器数据融合研究更早其多年,但多传感器数据融合理论与技术应用到入侵检测系统中仍是目前的研究热点。本文通过对航迹关联和证据理论的深入研究,并结合多传感器数据融合理论与技术,应用到入侵检测系统,通过理论证明和试验验证,该入侵检测系统具有较低的不确定性,进而提高系统的信任度。 Intrusion Detection Technology has been studied by the world from the beginning of the 1980s, with multi sensor data fusion in its earlier years, but multi-sensor data fusion theory and technique applied to the intrusion detection system is the current hotspot. This paper researched the track association and the evidence theory deeply, and applied them into the intrusion detection system, in conjunction with multi-sensor data fusion theories and techniques. Through theoretical and experimental verification, this paper concluded that the intrusion detection system had lower uncertainty, and could improve system trust.
作者 卢辉斌 马宁
出处 《电子测量技术》 2008年第12期104-106,共3页 Electronic Measurement Technology
关键词 入侵检测 数据融合 多传感器 航迹关联 证据理论 intrusion detection data fusion multi--sensor track association evidence theory
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  • 1Rebecca Gurley Bace 陈明奇等(译).入侵检测[M].北京:人民邮电出版社,2001..
  • 2-.入侵检测管理员手册[M].北京:人民邮电出版社,2000..
  • 3孙增沂.智能控制理论与技术[M].清华大学出版社、广西科学技术出版社,2000,1..
  • 4NHontANers(德)著 王磊译.多传感器技术及其应用[M].北京:国防工业出版社,2001,2..
  • 5腾召胜.智能检测系统与数据融合[M].北京:机械工业出版社,1999,12..
  • 6Qingdong Du, Lingyu Xu, Hai Zhao. D-S Evidence Theory Applied to Fault Diagnosis of Generator Based on Embedded Sensors. < Proceedings of the 2th International Conference on Informaiton Fusion> (Co-sponsored by NASA and IEEE). Otc 2000 France vol 2:1126-1131.
  • 7何有 王国宏.多传感器信息融合及应用[M].北京:电子工业出版社,2000,11..
  • 8Dempster A P.A generalization of Bayesian inference[J].Journal of the Royal Statistical Society,1968,Series B30:205-247.
  • 9Shafer G.A Mathematical Theory of Evidence[M]. Princeton:Princetioni Princeton University Press,1976.
  • 10QuDong-cai, Heyou.Study of the DLIF based on Dempster-shafer evidence theory[A].ICEMI2003, Conference Proceedings of the sixth International Conference On Electronic Measurement &Instrument Vol.1[C].329-332.

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