标题:
Apriori算法在入侵检测系统中的改进Improvement of Apriori Algorithm in Intrusion Detection System
作者:
王鑫
关键字:
入侵检测, 数据挖掘, 分布式计算, Apriori算法Intrusion Detection, Data Mining, Distributed Computing, Apriori Algorithm
期刊名称:
《Journal of Security and Safety Technology》, Vol.4 No.4, 2016-12-19
摘要:
随着互联网的发展，网络安全形势日趋严峻，网络安全问题频发，这些安全问题出现在各行各业，造成的危害越发严重。而对于每天面临大量数据量的公司而言，如何在众多数据中检测出入侵病毒是个很大的挑战。用于数据挖掘的关联规则在分布式计算中发挥重要的作用，它们同样也适用于对病毒的入侵检测，本文将对数据挖掘中关联规则产生的Apriori算法在入侵检测系统下进行改进，使得它适用于对病毒的入侵检测。
With the development of the Internet, the network security situation is becoming increasingly grim. Network security problems occur frequently. These security problems appear in all walks of life. The harm caused is more serious. And for companies who face a lot of data every day, how to detect a large number of data in the virus is a big challenge. The association rules in data mining play an important role in distributed computing, which is also suitable for the invasion of virus detection. This Apriori algorithm to association rules in data mining in intrusion detection system is improved, which makes it applicable to the invasion of virus detection.