HeteMSD: A Big Data Analytics Framework for Targeted Cyber-Attacks Detection Using Heterogeneous Multisource Data
Joint Authors
Ju, Ankang
Guo, Yuanbo
Ye, Ziwei
Li, Tao
Ma, Jing
Source
Security and Communication Networks
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-05-02
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
In the current enterprise network environment, multistep targeted cyber-attacks with concealment and advanced characteristics have become the main threat.
Multisource security data are the prerequisite of targeted cyber-attacks detection.
However, these data have characters of heterogeneity and semantic diversity, and existing attack detection methods do not take comprehensive data sources into account.
Identifying and predicting attack intention from heterogeneous noisy data can be meaningful work.
In this paper, we first review different data fusion mechanisms of correlating heterogeneous multisource data.
On this basis, we propose a big data analytics framework for targeted cyber-attacks detection and give the basic idea of correlation analysis.
Our approach will offer the ability to correlate multisource heterogeneous security data and analyze attack intention effectively.
American Psychological Association (APA)
Ju, Ankang& Guo, Yuanbo& Ye, Ziwei& Li, Tao& Ma, Jing. 2019. HeteMSD: A Big Data Analytics Framework for Targeted Cyber-Attacks Detection Using Heterogeneous Multisource Data. Security and Communication Networks،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1210480
Modern Language Association (MLA)
Ju, Ankang…[et al.]. HeteMSD: A Big Data Analytics Framework for Targeted Cyber-Attacks Detection Using Heterogeneous Multisource Data. Security and Communication Networks No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1210480
American Medical Association (AMA)
Ju, Ankang& Guo, Yuanbo& Ye, Ziwei& Li, Tao& Ma, Jing. HeteMSD: A Big Data Analytics Framework for Targeted Cyber-Attacks Detection Using Heterogeneous Multisource Data. Security and Communication Networks. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1210480
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1210480