基于改进Adaboost算法的数据网络DoS入侵安全检测方法

Data Network DoS Intrusion Security Detection Method Based on the Improved Adaboost Algorithm

传统数据网络拒绝服务(Denial of Service,DoS)入侵安全检测方法直接对入侵行为特征进行提取,未对入侵数据进行采集,造成传统方法检测精度较低。据此,文章提出基于改进Adaboost算法的数据网络DoS入侵安全检测方法,首先采集入侵数据,实现入侵行为特征的提取,从而提升检测结果的准确性。其次,基于改进Adaboost算法实现数据网络DoS入侵安全检测。最后,设计对比实验。实验结果表明,该研究方法检测精度更高,值得推广。

The traditional data network Denial of Service(DoS)intrusion security detection method directly extracts the characteristics of the intrusion behavior without collecting the intrusion data,resulting in the low detection accuracy of the traditional method.DoS intrusion security detection method for data network based on improved Adaboost algorithm.The intrusion data is collected to facilitate the improvement of the accuracy of the detection method results.Finally,the comparison experiment of the intrusion security detection of the data DoS network based on the improved Adaboost algorithm.The experimental results show that the detection accuracy of the research method is higher,which is worth popularizing.