CAJ | 학술논문

本文主要研究金融证券行业的国际标准数据交换协议FIX,以及该协议在中国的发展而产生的STEP协议的报文特点,提出利用建立入侵检测数据仓库并利用嗅探工具采集协议数据包,数据包输入数据仓库,利用数据挖掘技术进行处理数据仓库中的数据包,最后处理结果再输入BP神经网络,利用神经网络技术发现入侵证券系统的入侵行为,最终建立一个高效,稳定的用于证券交易的防护系统。
본문주요연구금융증권행업적국제표준수거교환협의FIX,이급해협의재중국적발전이산생적STEP협의적보문특점,제출이용건립입침검측수거창고병이용후탐공구채집협의수거포,수거포수입수거창고,이용수거알굴기술진행처리수거창고중적수거포,최후처리결과재수입BP신경망락,이용신경망락기술발현입침증권계통적입침행위,최종건립일개고효,은정적용우증권교역적방호계통。
The article mainly dealt with the international standard data exchange protocol of financial securities trade FLX and the message features of STEP developed from FIX used in China. It also put forward the use of setting up identifieation database and collects protocol data block by making use of smelling instruments. Input the data block into the database, proecssed the data block in the database by useing data excavation techrique In the end, tiffs paper put the processed results into BP network and discovered the invasion behavior in the securities system and finally created on efficient and steady preventive system for securities exchange.