5G NB-IoT: Efficient Network Traffic Filtering for Multitenant IoT Cellular Networks

Author:

Salva-Garcia Pablo1ORCID,Alcaraz-Calero Jose M.1ORCID,Wang Qi1ORCID,Bernabe Jorge Bernal2ORCID,Skarmeta Antonio2ORCID

Affiliation:

1. University of the West of Scotland, UK

2. University of Murcia (UMU), Spain

Abstract

Internet of Things (IoT) is a key business driver for the upcoming fifth-generation (5G) mobile networks, which in turn will enable numerous innovative IoT applications such as smart city, mobile health, and other massive IoT use cases being defined in 5G standards. To truly unlock the hidden value of such mission-critical IoT applications in a large scale in the 5G era, advanced self-protection capabilities are entailed in 5G-based Narrowband IoT (NB-IoT) networks to efficiently fight off cyber-attacks such as widespread Distributed Denial of Service (DDoS) attacks. However, insufficient research has been conducted in this crucial area, in particular, few if any solutions are capable of dealing with the multiple encapsulated 5G traffic for IoT security management. This paper proposes and prototypes a new security framework to achieve the highly desirable self-organizing networking capabilities to secure virtualized, multitenant 5G-based IoT traffic through an autonomic control loop featured with efficient 5G-aware traffic filtering. Empirical results have validated the design and implementation and demonstrated the efficiency of the proposed system, which is capable of processing thousands of 5G-aware traffic filtering rules and thus enables timely protection against large-scale attacks.

Funder

Fundacion Seneca-Agencia de Ciencia y Tecnologia de la Region de Murcia

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Information Systems

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