Title | A traffic based lightweight attack detection scheme for VoLTE |
Creator | |
Date Issued | 2016 |
Conference Name | 59th IEEE Global Communications Conference, GLOBECOM 2016 |
Source Publication | 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings
![]() |
ISBN | 978-1-5090-1329-6; 978-1-5090-1328-9 |
Conference Date | 4 December 2016 through 8 December 2016 |
Conference Place | Washington, DC, USA |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Abstract | With rapid growth of LTE network and Voice-over-LTE(VoLTE), detecting and preventing security threats like Denial of Service attack becomes a necessary and urgent requirement. VoLTE is an voice solution based on Internet Protocol and 4G LTE technology, at the same time exposing many vulnerabilities when using packet-switched network. There are many heavy weighted detection systems using content analysis, while high demands of computing resource constraint their practical use. In this paper, we purpose a lightweight detection scheme for VoLTE network security, based on analysis of data traffic flow. To optimize parameters in our scheme, we formulate a Bayesian game model. Bayesian game has the features of incomplete information and asymmetry, similar to practical attack-defense model. Besides, The dynamic Bayesian game is more realistic, since both sides can update believes about their opponents. Simulation results provide some guidances on parameter selection, as well as verifying the superiority of our scheme. © 2016 IEEE. |
DOI | 10.1109/GLOCOM.2016.7841555 |
URL | View source |
Indexed By | CPCI-S |
Language | 英语English |
WOS Research Area | Engineering ; Telecommunications |
WOS Subject | Engineering, Electrical & Electronic ; Telecommunications |
WOS ID | WOS:000401963300072 |
Citation statistics |
Cited Times [WOS]:0
[WOS Record]
[Related Records in WOS]
|
Document Type | Conference paper |
Identifier | http://repository.uic.edu.cn/handle/39GCC9TT/4505 |
Collection | Research outside affiliated institution |
Affiliation | Shanghai Jiao Tong University, China |
Recommended Citation GB/T 7714 | Ruan, Na,Hu, Qi,Gao, Leiet al. A traffic based lightweight attack detection scheme for VoLTE[C]: Institute of Electrical and Electronics Engineers Inc., 2016. |
Files in This Item: | There are no files associated with this item. |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment