A Support Vector Machines Security Assessment Method Based on Group Decision-marking for Electric Power Information System

摘要：

In accordance with the characteristics and the special demands of electric power information system, this paper designs a support vector machines (SVM) risk assessment method based on group decision-marking. According to security technology indices of electric power information system, the method chooses the mode of expert scoring, based on the group decision-marking, to calculate integrated value of each index, which is as a training sample used to train SVM, and it forecasts risk level for the system. Finally, it verifies the correctness of the method by analyzing results of the examples of the electric power information system security assessment. The experiment shows that the method can not only forecast the current risk level of the electric power system with a high accuracy rate, but also reduce the influence of the subjective factors in some degree.

关键词： risk assessment support vector machines group decision-marking electric power information system

作者: Xiaorong Cheng Yan Wei Xin Geng

作者单位: School of Computer Science and Technology North China Electric Power University Baoding,China

会议类型: 国际会议

会议名称: The Fifth International Conference on Information Assurance and Security(第五届信息保障与安全国际会议)

会议地点: 西安

会议语种:英文

页码: 536-539

在线出版日期: 2009-08-18（万方平台首次上网日期，不代表论文的发表时间）