Title :
Some Special Issues of Network Security Monitoring on Big Data Environments
Author :
Liu Lan ; Lin Jun
Author_Institution :
Coll. of Electron. & Inf., Guangdong Polytech. Normal Univ., Guangzhou, China
Abstract :
Big Data possesses profound information of our society, and therefore, it impacts numerous aspects of human society, with a large amount of data from large-scale heterogeneous network environments, we should analyze some special issues of network security monitoring on Big Data environments. This paper propose data cleaning for various types of data sources and analysis Big Data on network security through security event on multiple associations rules. This study provides some ideas for network security monitoring on Big Data environments.
Keywords :
Big Data; data mining; security of data; Big Data environments; associations rules; data cleaning; data sources; heterogeneous network environments; network security monitoring; Algorithm design and analysis; Big data; Communication networks; Correlation; Data mining; Monitoring; Security; Big Data; association analysis; mining; network security;
Conference_Titel :
Dependable, Autonomic and Secure Computing (DASC), 2013 IEEE 11th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-3380-8
DOI :
10.1109/DASC.2013.30