  Security in the fifth generation (5G) networks has become one of the prime
concerns in the telecommunication industry. 5G security challenges come from
the fact that 5G networks involve different stakeholders using different
security requirements and measures. Deficiencies in security management between
these stakeholders can lead to security attacks. Therefore, security solutions
should be conceived for the safe deployment of different 5G verticals (e.g.,
industry 4.0, Internet of Things (IoT), etc.). The interdependencies among 5G
and fully connected systems, such as IoT, entail some standard security
requirements, namely integrity, availability, and confidentiality. In this
article, we propose a hierarchical architecture for securing 5G enabled IoT
networks, and a security model for the prediction and detection of False Data
Injection Attacks (FDIA) and Distributed Denial of Service attacks (DDoS). The
proposed security model is based on a Markov stochastic process, which is used
to observe the behavior of each network device, and employ a range-based
behavior sifting policy. Simulation results demonstrate the effectiveness of
the proposed architecture and model in detecting and predicting FDIA and DDoS
attacks in the context of 5G enabled IoT.
