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Accurately Identifying New QoS Violation Driven by High-Distributed Low-Rate Denial of Service Attacks Based on Multiple Observed Features
Joint Authors
Kang, Jian
Yang, Mei
Zhang, Junyao
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-03
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
We propose using multiple observed features of network traffic to identify new high-distributed low-rate quality of services (QoS) violation so that detection accuracy may be further improved.
For the multiple observed features, we choose F feature in TCP packet header as a microscopic feature and, P feature and D feature of network traffic as macroscopic features.
Based on these features, we establish multistream fused hidden Markov model (MF-HMM) to detect stealthy low-rate denial of service (LDoS) attacks hidden in legitimate network background traffic.
In addition, the threshold value is dynamically adjusted by using Kaufman algorithm.
Our experiments show that the additive effect of combining multiple features effectively reduces the false-positive rate.
The average detection rate of MF-HMM results in a significant 23.39% and 44.64% improvement over typical power spectrum density (PSD) algorithm and nonparametric cumulative sum (CUSUM) algorithm.
American Psychological Association (APA)
Kang, Jian& Yang, Mei& Zhang, Junyao. 2015. Accurately Identifying New QoS Violation Driven by High-Distributed Low-Rate Denial of Service Attacks Based on Multiple Observed Features. Journal of Sensors،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1070127
Modern Language Association (MLA)
Kang, Jian…[et al.]. Accurately Identifying New QoS Violation Driven by High-Distributed Low-Rate Denial of Service Attacks Based on Multiple Observed Features. Journal of Sensors No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1070127
American Medical Association (AMA)
Kang, Jian& Yang, Mei& Zhang, Junyao. Accurately Identifying New QoS Violation Driven by High-Distributed Low-Rate Denial of Service Attacks Based on Multiple Observed Features. Journal of Sensors. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1070127
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1070127