Threat Detection Model for WLAN of Simulated Data Using Deep Convolutional Neural Network

Threat Detection Model for WLAN of Simulated Data Using Deep Convolutional Neural Network

Security identification solutions against WLAN network attacks according to straightforward digital detectors, such as SSID, IP addresses, and MAC addresses, are not efficient in identifying such hacking or router impersonation. These detectors can be simply mocked. Therefore, a further protected ke...

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Bibliographic Details
Main Authors: Omar I. Dallal Bashi, Shymaa Mohammed Jameel, Yasir Mahmood Al Kubaisi, Husamuldeen K. Hameed, Ahmad H. Sabry
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Applied Sciences
Subjects:
WLAN
network security
network impersonations
MAC
IP address
ADAM optimizer
Online Access:https://www.mdpi.com/2076-3417/13/20/11592

Internet

https://www.mdpi.com/2076-3417/13/20/11592

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