摘要
网络攻击会利用混合型数据对电力系统实施不同频率的攻击,导致系统中数据丢包率加大,网络吞吐量降低,系统响应时间增加,为此研究网络攻击下电力系统混合入侵防御算法。利用PSO算法计算混合数据入侵频率,实现混合入侵数据分类。按照不同频率类型的入侵数据,利用复杂映射决策模型建立入侵响应映射,防御不同频率入侵数据的攻击,并计算入侵数据防御资源的最大容量系数,根据该系数得到算法在电力系统中受限制的位置编号,扫描并隔离处理该位置的信任事务,完成对电力系统混合入侵防御算法的研究。结果表明:在文中提出的防御算法控制下,电力系统的响应时间更短、数据丢包率降低,并有效提升了网络吞吐量,说明该算法适合在电力系统防御中使用。
Network attack uses hybrid data to attack power system with different frequency,which results in higher packet loss rate,lower network throughput and longer system response time.Therefore,the hybrid intrusion prevention algorithm of power system under network attack is studied.This paper uses PSO algorithm to calculate the intrusion frequency of mixed data and realize the classification of mixed intrusion data.According to the intrusion data of different frequency types,we use the complex mapping decision-making model to establish the intrusion response mapping to prevent the attack of intrusion data of different frequency.And we calculate the maximum capacity coefficient of intrusion data defense resources,according to the coefficient,get the limited location number of the algorithm in the power system,scan and isolate the location manage the trust transaction in this location,and complete the research on hybrid intrusion prevention algorithm of power system.The results show that under the control of the proposed defense algorithm,the response time of the power system is shorter,the packet loss rate is reduced,and the network throughput is effectively improved,which shows that the algorithm is suitable for the defense of the power system.
作者
胡超
乔治中
黄天明
HU Chao;QIAO Zhizhong;HUANG Tianming(NARI Information & Communication Technology Co. Ltd., Nanjing 210003, China)
出处
《微型电脑应用》
2022年第6期124-127,共4页
Microcomputer Applications
关键词
系统响应时间
PSO算法
复杂映射决策模型
最大容量系数
网络攻击
system response time
PSO algorithm
complex mapping decision model
maximum capacity coefficient
network attack