Network Penetration Attack Defense Method Based on Event Flow Data Lineage
In order to ensure the security of network communication and reduce the risk of network attack,based on event stream data lineage,this paper presented a method of defending network penetration attacks.Firstly,the time scale was divided by constructing a network attack signal model,and then the data acquisition and signal fitting were completed.Secondly,the principal component analysis was used to extract the dynamic characteristics of the network and eliminate the collinearity of all attack variables,thus making the hidden information in the network visible.Third-ly,the network information flow was divided into several data lineages.Moreover,alternative data lineages were sorted according to the similar proximity.Meanwhile,the abnormal events related to information were identified.Finally,the attack data was defended to ensure network security.Experiment results prove that the proposed method can defend a-gainst network penetration attacks,with less time is short,so it has good practical value.
Event stream data lineageNetwork penetration attackDefense for network attackFeature extractionInformation entropy
NETL
NSTL
万方数据
