【24h】

A New Data Fusion Model of Intrusion Detection-IDSFP

机译:一种新的入侵检测数据融合模型-IDSFP

获取原文
获取原文并翻译 | 示例

摘要

Based on the multi-sensor data fusion technology, a new Intrusion Detection Data Fusion Model-IDSFP is presented. This model is characterized by correlating and merging alerts of different types of IDSs, generating the measures of the security situation, and thus constituting the evidence. Current security situation of network is estimated by applying the D-S Evidence Theory, and some IDSs in the network are dynamically adjusted to strengthen the detection of the data that relate to the attack attempt. Consequently, the false positive rate and the false negative rate are effectively reduced, and the detection efficiency of IDS is accordingly improved.
机译:基于多传感器数据融合技术,提出了一种新的入侵检测数据融合模型-IDSFP。该模型的特征是将不同类型的IDS的警报进行关联和合并,生成安全状况的度量,从而构成证据。应用D-S证据理论对网络的当前安全状况进行了估计,并对网络中的某些IDS进行了动态调整,以加强对与攻击企图有关的数据的检测。结果,有效地减少了误报率和误报率,并且因此提高了IDS的检测效率。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号