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The philosophy that founds the world of the Internet of Things apparently becomes essential for the projected permanently connected world. The 5G data networks are supposed to dramatically improve the actual 4G networks’ real world significance, which makes them fundamental for the next generation networks of IoT devices. The academic and industrial effort to improve the 5G technological standards and security mechanisms considers various routes. Thus, this proposed talk aims to present the state-of-the-art concerning the development of the standards that model the 5G networks. It values the author's experience that was gathered during the implementation of the Vodafone Romania 5G networked services. It puts this acquired experience in context by reviewing the relevant similar contributions, the relevant technologies, and it describes the research directions and difficulties that will probably influence the design and implementation of secure large 5G data networks. Consequently, this talk presents a machine learning-based real time intrusion detection system that is based on the deep inspection of the data packets, which has been effectively tested in the context of a 5G data network. The intelligent intrusion detection system considers the creation of software defined networks, and it uses artificial intelligence based models. It is able to proactively detect unknown intrusions patterns through the usage of machine learning-based software components. The system has been assessed and the results prove that it achieves superior performance with a lower overhead in comparison to similar approaches, which allows it to be effectively deployed on real-time 5G networks. Dr. Razvan Bocu, Transilvania University of Brasov, Department of Mathematics and Computer Science, 500091, Romania (razvan.bocu@unitbv.ro). Dr. Bocu is a Research and Teaching Staff Member in the Department of Mathematics and Computer Science, the Transilvania University of Brasov, Romania. He received a B.S. degree in Computer Science from the Transilvania University of Brasov in 2005, a B.S. degree in Sociology from the Transilvania University of Brasov in 2007, an M.S. degree in Computer Science from the Transilvania University of Brasov in 2006, and a Ph.D. degree from the National University of Ireland, Cork, in 2010. He is the author or coauthor of 33 technical papers, together with four books and book chapters. Dr. Bocu is an editorial reviewing board member of seven high-profile technical journals in the field of Information Technology and Biotechnology.