發(fā)布時間：2018-05-30 11:11

  本文選題：時空域 + 信息融合��； 參考：《北京郵電大學學報》2017年03期

【摘要】：針對現(xiàn)有智能家居入侵檢測算法收斂速度慢及抗干擾能力差進而導致決策系統(tǒng)實時性和魯棒性差的缺陷,分析了時空域證據(jù)融合的特性,得出時域融合存在沖突融合、空域融合更存在去除沖突融合的結(jié)論.基于此,提出了基于證據(jù)理論的時域自適應加權算法及空域證據(jù)修正的3種證據(jù)融合入侵檢測算法,并將提出的檢測算法應用于智能家居入侵檢測系統(tǒng).檢測結(jié)果表明,提出的算法能夠加快融合結(jié)果的收斂速度,增強抗干擾能力,并能提高入侵檢測系統(tǒng)決策的實時性和魯棒性.
[Abstract]:Aiming at the shortcomings of the existing intelligent home intrusion detection algorithms, such as slow convergence speed and poor anti-jamming ability, which leads to poor real-time and robustness of decision-making system, the characteristics of evidence fusion in space-time domain are analyzed, and the conflict fusion in time-domain fusion is obtained. There is also a conclusion of conflict removal fusion in airspace fusion. Based on this, a time domain adaptive weighted algorithm based on evidence theory and three evidence fusion intrusion detection algorithms based on spatial evidence correction are proposed, and the proposed detection algorithm is applied to intelligent home intrusion detection system. The detection results show that the proposed algorithm can accelerate the convergence speed of fusion results, enhance the ability of anti-jamming, and improve the real-time and robustness of intrusion detection system decision.
【作者單位】： 桂林電子科技大學計算機與信息安全學院;廣西信息科學實驗中心;廣西可信軟件重點實驗室;
【基金】：國家自然科學基金項目(61362007) 廣西信息科學實驗中心項目(YB1407) 廣西可信軟件重點實驗室基金(KX201414)課題
【分類號】：TP202;TU855
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本文編號：1955094