Title

Towards the transversal detection of DDoS network attacks in 5G multi-tenant overlay networks

ORCID Identifiers

0000-0002-0027-7128

Document Type

Article

Source of Publication

Computers and Security

Publication Date

11-1-2018

Abstract

© 2018 Elsevier Ltd Currently, there is no any effective security solution which can detect cyber-attacks against 5G networks where multitenancy and user mobility are some unique characteristics that impose significant challenges over such security solutions. This paper focuses on addressing a transversal detection system to be able to protect at the same time, infrastructures, tenants and 5G users in both edge and core network segments of the 5G multi-tenant infrastructures. A novel approach which significantly extends the capabilities of a commonly used IDS, to accurately identify attacking nodes in a 5G network, regardless of multiple network traffic encapsulations, has been proposed in this paper. The proposed approach is suitable to be deployed in almost all 5G network segments including the Mobile Edge Computing. Both architectural design and data models are described in this contribution. Empirical experiments have been carried out a realistic 5G multi-tenant infrastructures to intensively validate the design of the proposed approach regarding scalability and flexibility.

ISSN

0167-4048

Publisher

Elsevier Ltd

Volume

79

First Page

132

Last Page

147

Disciplines

Computer Sciences

Keywords

5G network, DDoS attack, Intrusion detection system, Multi-tenant, Security

Scopus ID

85053399301

Indexed in Scopus

yes

Open Access

yes

Open Access Type

Green: A manuscript of this publication is openly available in a repository

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