Protection for 5G Network Access through Data-driven Deep Neural Network Clustering | Chapter 7 | Research and Developments in Engineering Research Vol. 8

 This study presents an creative security model for wireless approach in 5G networks, referred to as 5GDoSec. Considering that a concern inside the security of 5G network access refers to Distributed Denial of Service (DOS) attacks accredit its orientation towards the Internet of Things (IoT), a safety model is put forth. This novel model offers a judgment to this predicament, demanding slightest user dossier, user-friendly operation, modernized training and arrangement, as well as modest computational demands and irregular adaptability. The basic target of this model search out identify potential trespassers and malicious actors through the request of Deep Neural Networks coupled with machine intelligence methodologies. The methodology trails an evolutionary process established prototypes where an alone security model is buxom through data analysis. This approach influences access dossier collected from a specific effort point that aggregates, profiles, and classification authorized network users. The aim search out discern, established access metrics and alive durations, those individuals that ability pose a security risk. The adaptable type of the 5GDoSec model has been tentatively demonstrated and stands as a dependable method of accurately classification hazardous users. Empirical confirmation, gauged through the DaviesBouldin index, underlines its superiority over alternative methods such as Kmeans and Linkage.

Author(s) Details:

Sebastian Camilo Vanegas Ayala,
Faculty of Engineering, Universidad Distrital Francisco José de Caldas, Intelligent Internet Research Group, Bogotá D.C., Colombia.

Octavio José Salcedo Parra,
Faculty of Engineering, Universidad Distrital Francisco José de Caldas, Intelligent Internet Research Group, Bogotá D.C., Colombia and Department of Systems and Industrial Engineering, Faculty of Engineering, Universidad Nacional de Colombia, Bogotá D.C., Colombia.

Brayan Leonardo Sierra Forero,
Faculty of Engineering, Universidad Distrital Francisco José de Caldas, Intelligent Internet Research Group, Bogotá D.C., Colombia.

Please see the link here: https://stm.bookpi.org/RADER-V8/article/view/11955