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作 者:李风芝[1]
机构地区:[1]天津开发区职业技术学院电子信息学院,天津300457
出 处:《科技通报》2014年第4期116-118,共3页Bulletin of Science and Technology
摘 要:传统的入侵检测技术采用基于7层标准模型的检测方法,对普通入侵数据具有较好的检测性能,但随着入侵数据的日益模糊化,传统检测方法的检测性能严重下降。提出一种基于蚁群游走的多层网路安全访问,将系统分为系统层、主机层、服务层的多层模型,然后将网络系统中的节点等效为蚁群单元,采用蚁群游走算法的随机适应性对入侵系统的数据进行检测,采用6元入侵数据进行系统性能测试,结果显示,算法能很好地检测入侵系统的多种非法数据,算法稳定性好,鲁棒性强,具有很好的应用价值。In traditional detection method, the detection module was divided into 7 standard layers, it was useful for common intrusion data, but with the vague of the intrusion data, the detection ability came down. A security access module ofmulti-layer network based on ant random walk was proposed, the detection module was divided into 3 layers, which weresystem layer, host layer and service layer, the node in network was taken as ant, the ant random walk algorithm was used todetect intrusion. 6 intrusion was simulated to check the ability of the detection system, with simulation, the result showsthat the intrusion can be detected well, the algorithm is stable with good robustness and it was very useful for application.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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