基于GA-SVM的机场数据中心信息安全风险评估

GA- SVM- based Information Security Risk Assessment of Airport Data Center

数据中心是智慧机场的核心元素,在数据中心运营过程中信息安全问题不容忽视。风险评估作为保障机场数据中心信息安全的第一步显得尤为重要,为此本文提出了一种基于GA-SVM的机场数据中心信息安全风险评估模型,针对问题特点,把遗传算法引入到支持向量机中并对SVM参数择优,提高模型的分类准确率。同时把支持向量机的二分类问题拓展到三分类问题上,根据具体的评估指标值将机场数据信息安全等级分为较高、中等和较低,获得了较为满意的效果。为机场数据中心的安全运营和管理可靠的决策支持。

Data center is the core element of smart airports,and information security should not be neglected during its operation.Risk assessment seems much important as the first step to guarantee information security of the airport data center. This paper proposes a GA- SVM- based risk assessment model for data center information security. Genetic algorithm is introduced into support vector machine,thus to select the optimal SVM parameter and improve the classification accuracy of the model. In addition,the two- classification problem of support vector machine is expanded to three- classification problem. In accordance with the specific assessment index value,the data information security is classified to three levels of higher,medium and lower,and this practice achieves satisfying result,thus providing a highly effective and reliable decision support to the management and operation of airport data center.