摘要
对无线网络系统中恶意数据进行准确检测,可消除无线网络系统的威胁,提高无线网络系统的安全性。将数据划分成重点挖掘集合、普通挖掘集合和直接行为恶意数据集合是进行恶意数据挖掘时的基础。但是传统方法是利用两种分类函数和五种挖掘函数,对无线网络系统恶意数据进行动态挖掘,但是不能对无线网络系统数据进行有效划分,降低了恶意数据挖掘的效率。提出基于数据挖掘的无线网络系统对恶意数据优化挖掘方法。上述方法利用数据挖掘,将无线网络系统中的数据划分成重点挖掘集合、普通挖掘集合和直接行为恶意数据集合。根据行为挖掘函数对普通挖掘集合和直接行为恶意数据集合进行一次挖掘,判断其中应用行为数据是否存在恶意。对重点挖掘集合采取选取三种不同相似数据,求取出三种挖掘结果平均值,进行挖掘。仿真结果证明,所提方法的检测效率优异、有效性较高。
It can eliminate the threat of the wireless network system and improve the security to detect the malicious data accurately. An optimization mining method of malicious data in wireless network system is proposed based on data mining. Firstly, the data mining is used to divide the data in wireless network system into the key mining set, common mining set, and malicious data set of direct act. Then, the common mining set and malicious data set of direct act once are mined according to the act mining function and it is judged whether the application behavior data was malicious or not. Finally, three kinds of different similar data from the key mining data set are selected and the average value of three mining results to mine the data is calculated. The simulation results show that the method mentioned above has excellent detection efficiency and good validity.
作者
桑亚群
SANG Ya - qun(School of Computer Science and Technology, Xi＇an University of Science and Technology Xi＇an Shanxi 710054,China)
出处
《计算机仿真》
北大核心
2017年第6期306-309,共4页
Computer Simulation
关键词
数据挖掘
无线网络系统
恶意数据
Data mining
Wireless network system
Malicious data
