Prediction and Detection of FDIA and DDoS Attacks in 5G Enabled IoT

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