The propagation of 5G, beyond 5G and Internet of Everything (IoE) networks are the key business force for future networks and its various applications. These networks have been constantly under various assaults by means of blocking and tracking information. Therefore, it is essential to develop a real-time recognition system to handle these assaults. But, not sufficient research has been conducted in this area so far. Hence we propose a model to recognize various assaults via online in 5G, beyond 5G and IoE networks using dominance based rough set and formal concept analysis. For analyzing the model, this paper incorporates legal and simulated 5G, beyond 5G and IoE network traffic, along with various types of assaults. The dominance based rough set is used to identify the assaults whereas chief features that are involved in various assaults are identified using formal concept analysis. The results acquired explain the capability of the projected research. © 2020, Springer Science+Business Media, LLC, part of Springer Nature.