Our goal is to make these protocols more secure against unauthorized traffic by Intrusion Detection. System (IDS) using up-to-date deep learning approach.

This work focuses on optimizing the Impersonation Attack detection by leveraging Artificial Neural Network (ANN) for the feature selection and applying ...

Oct 22, 2024 · We leverage Artificial Neural Network (ANN) for the feature selection and apply Stacked Auto Encoder (SAE), a deep learning algorithm as a ...

Our experiments show that the reduced input features have significantly improved to detect the Impersonation Attack. AB - WiFi network traffics will be expected ...

We leverage Artificial Neural Network (ANN) for the feature selection and apply Stacked Auto Encoder (SAE), a deep learning algorithm as a classifier for AWID ...

Detecting Impersonation Attack in WiFi Networks Using Deep Learning Approach · Hit : 955 · Download : 2333.

Detecting Impersonation Attack in WiFi Networks Using Deep Learning Approach ... learning methods for intrusion detection systems: recent developments and ...

Aminanto et al. [4–6] proposed several novel methods to detect impersonation type attack and showed a detection rate of 99.918% and a false alarm rate of 0.012 ...

We leverage Artificial Neural Network (ANN) for the feature selection and apply Stacked Auto Encoder (SAE), a deep learning algorithm as a classifier for AWID ...

This paper delves into the cutting-edge intrusion detection methods for IoT security, anchored in Deep Learning.