On Cooperative Federated Defense to Secure Multiaccess Edge Computing

Document Type

Article

Publication Date

7-1-2024

Abstract

The research of cyber security for multiaccess edge computing (MEC) has not yet received great interest. Specifically, the attack detection issue is considered as a major concern since the MEC network, which handles attractive information, is prone to several internal and external network attacks. Recently, the federated learning (FL) and generative adversarial network (GAN) have been used to detect and prevent attacks from targeting the wireless mobile networks. In this article, we present the state of the art of MEC attack detection and defense frameworks, which incorporate FL and GAN algorithms. Moreover, we propose a new cyber defense framework based on a federated generative adversarial network algorithm and a noncooperative game to improve over time the precision of attack detection.

Identifier

85128635477 (Scopus)

Publication Title

IEEE Consumer Electronics Magazine

External Full Text Location

https://doi.org/10.1109/MCE.2022.3167527

e-ISSN

21622256

ISSN

21622248

First Page

24

Last Page

31

Issue

4

Volume

13

This document is currently not available here.

Share

COinS