Collaborative detection of cyber security threats in big data
Joint Authors
Chen, Yue
Zhang, Jiange
Guo, Yuanbo
Source
The International Arab Journal of Information Technology
Issue
Vol. 16, Issue 2 (31 Mar. 2019)9 p.
Publisher
Publication Date
2019-03-31
Country of Publication
Jordan
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
In the era of big data, it is a problem to be solved for promoting the healthy development of the Internet and the Internet+, protecting the information security of individuals, institutions and countries.
Hence, this paper constructs a collaborative detection system of cyber security threats in big data.
Firstly, it describes the log collection model of Flume, the data cache of Kafka, and the data process of Esper; then it designs one-to-many log collection, consistent data cache, Complex Event Processing (CEP) data process using event query and event pattern matching; finally, it tests on the datasets and analyzes the results from six aspects.
The results demonstrate that the system has good reliability, high efficiency and accurate detection results; moreover, the system has the advantages of low cost and flexible operation.
American Psychological Association (APA)
Zhang, Jiange& Guo, Yuanbo& Chen, Yue. 2019. Collaborative detection of cyber security threats in big data. The International Arab Journal of Information Technology،Vol. 16, no. 2.
https://search.emarefa.net/detail/BIM-895016
Modern Language Association (MLA)
Zhang, Jiange…[et al.]. Collaborative detection of cyber security threats in big data. The International Arab Journal of Information Technology Vol. 16, no. 2 (Mar. 2019).
https://search.emarefa.net/detail/BIM-895016
American Medical Association (AMA)
Zhang, Jiange& Guo, Yuanbo& Chen, Yue. Collaborative detection of cyber security threats in big data. The International Arab Journal of Information Technology. 2019. Vol. 16, no. 2.
https://search.emarefa.net/detail/BIM-895016
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-895016