An Imbalanced Malicious Domains Detection Method Based on Passive DNS Traffic Analysis
Joint Authors
Xue, Jingfeng
Liu, Zhenyan
Zeng, Yifei
Zhang, Pengfei
Zhang, Ji
Liu, Jiangtao
Source
Security and Communication Networks
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-20
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
Although existing malicious domains detection techniques have shown great success in many real-world applications, the problem of learning from imbalanced data is rarely concerned with this day.
But the actual DNS traffic is inherently imbalanced; thus how to build malicious domains detection model oriented to imbalanced data is a very important issue worthy of study.
This paper proposes a novel imbalanced malicious domains detection method based on passive DNS traffic analysis, which can effectively deal with not only the between-class imbalance problem but also the within-class imbalance problem.
The experiments show that this proposed method has favorable performance compared to the existing algorithms.
American Psychological Association (APA)
Liu, Zhenyan& Zeng, Yifei& Zhang, Pengfei& Xue, Jingfeng& Zhang, Ji& Liu, Jiangtao. 2018. An Imbalanced Malicious Domains Detection Method Based on Passive DNS Traffic Analysis. Security and Communication Networks،Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1214298
Modern Language Association (MLA)
Liu, Zhenyan…[et al.]. An Imbalanced Malicious Domains Detection Method Based on Passive DNS Traffic Analysis. Security and Communication Networks No. 2018 (2018), pp.1-7.
https://search.emarefa.net/detail/BIM-1214298
American Medical Association (AMA)
Liu, Zhenyan& Zeng, Yifei& Zhang, Pengfei& Xue, Jingfeng& Zhang, Ji& Liu, Jiangtao. An Imbalanced Malicious Domains Detection Method Based on Passive DNS Traffic Analysis. Security and Communication Networks. 2018. Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1214298
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214298