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Detecting signalling DoS attacks on LTE networks

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conference contribution
posted on 28.10.2019, 16:03 by Gines Escudero-Andreu, Kostas KyriakopoulosKostas Kyriakopoulos, James FlintJames Flint, Sangarapillai LambotharanSangarapillai Lambotharan
As mobile communications increase their presence in our life, service availability becomes a crucial player for the next generation of cellular networks. However, both 4G and 5G systems lack of full protection against Denial-of-Service (DoS) attacks, due to the need of designing radio-access protocols focused on providing seamless connectivity. This paper presents a new method to detect a DoS attack over the Radio Resource Control (RRC) layer, offering three original metrics to identify such attack in a live Intrusion Detection System (IDS). The proposed metrics evaluate the connection release rate, the average session establishment and the session success rate to identify the attack. The presented results provide an average detection rate above 96%, with an average false positive rate below 3.8%.

Funding

This work has been supported by the Gulf Science, Innovation and Knowledge Econ- omy Programme of the UK Government under UK-Gulf Institutional Link grant IL 279339985

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

5th EAI International Conference on Industrial Networks and Intelligent Systems (INISCOM 2019)

Pages

283 - 301

Citation

ESCUDERO-ANDREU, G. ... et al., 2019. Detecting signalling DoS attacks on LTE networks. IN:Duong T. … et al (eds). 5th EAI International Conference on Industrial Networks and Intelligent Systems (INISCOM 2019), Ho Chi Minh, Vietnam, 19th August, pp.283-301.

Source

International Conference on Industrial Networks and Intelligent Systems (INISCOM)

Publisher

Springer

Version

AM (Accepted Manuscript)

Rights holder

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

Publisher statement

The final authenticated version is available online at https://doi.org/10.1007/978-3-030-30149-1_23.

Acceptance date

19/06/2019

Publication date

2019-08-17

Copyright date

2019

ISBN

9783030301484; 9783030301491

ISSN

1867-8211

eISSN

1867-822X

Book series

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;293

Language

en

Editor(s)

Trung Quang Duong; Nguyen-Son Vo; Loi K. Nguyen; Quoc-Tuan Vien; Van-Dinh Nguyen

Location

Ho Chi Minh, Vietnam

Event dates

19th August 2019