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This paper presents an ontology based on mutation techniques for the modelling of cybersecurity attacks and its application to 5G networks. Main concepts of network protocols, mutation operators, flow of network packets and network traffic are introduced. An ontology is designed based on different mutation operators that allow to design models that can be assimilated with known and unknown attacks. This approach has been implemented in our open source 5G network traffic fuzzer, 5Greplay, and has been applied to three use cases that are representative of attacks against 5G networks: NAS Replay attack, Denial of Service by Sending Malformed NGAP Packets and 5G encapsulation of IoT traffic.

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Network-based Localized Mobility Management (NetLMM) is considered as the future solution for the IP mobility management confined within the access network, as well as a solution for inter-access system handover between 3GPP and non-3GPP. In this paper, we enhance NetLMM to support simultaneous use of radio interfaces in 4G environments consisting of multi-interface mobile nodes and heterogeneous access technologies. All issues on how to manage and to use multiple interfaces simultaneously in NetLMM are identified. We present necessary enhancements for the network attachment and network detachment processes. It is pointed out that IP tunneling is not suitable for simultaneous access in NetLMM. Consequently, a new tunneling method, which is based on Stream Control Transmission Protocol (SCTP) and its extensions, referred to as virtual SCTP tunneling, is proposed. We show that that the new tunneling method is advantageous to both mobile users and network operators with the consideration of two scenarios, load-balancing and wireless bandwidth aggregation. Some simulation results are also provided in this paper as an early estimation of the new tunneling method.

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