Real-Time Detection of Application-Layer DDoS Attack Using Time Series Analysis
Joint Authors
Wang, Hongyuan
Gu, Xiaoqing
Ni, Tongguang
Li, Yu
Source
Journal of Control Science and Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-26
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
Distributed denial of service (DDoS) attacks are one of the major threats to the current Internet, and application-layer DDoS attacks utilizing legitimate HTTP requests to overwhelm victim resources are more undetectable.
Consequently, neither intrusion detection systems (IDS) nor victim server can detect malicious packets.
In this paper, a novel approach to detect application-layer DDoS attack is proposed based on entropy of HTTP GET requests per source IP address (HRPI).
By approximating the adaptive autoregressive (AAR) model, the HRPI time series is transformed into a multidimensional vector series.
Then, a trained support vector machine (SVM) classifier is applied to identify the attacks.
The experiments with several databases are performed and results show that this approach can detect application-layer DDoS attacks effectively.
American Psychological Association (APA)
Ni, Tongguang& Gu, Xiaoqing& Wang, Hongyuan& Li, Yu. 2013. Real-Time Detection of Application-Layer DDoS Attack Using Time Series Analysis. Journal of Control Science and Engineering،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-500828
Modern Language Association (MLA)
Ni, Tongguang…[et al.]. Real-Time Detection of Application-Layer DDoS Attack Using Time Series Analysis. Journal of Control Science and Engineering No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-500828
American Medical Association (AMA)
Ni, Tongguang& Gu, Xiaoqing& Wang, Hongyuan& Li, Yu. Real-Time Detection of Application-Layer DDoS Attack Using Time Series Analysis. Journal of Control Science and Engineering. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-500828
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-500828