Jun 23, 2022 · We propose a novel model that is capable of distinguishing normal HTTP requests and anomalous HTTP requests.
The system design is based on two RNN models that use normal requests to detect attacks. (i.e., one of the RNN models is a supervised learning model while the ...
A novel model that is capable of distinguishing normal HTTP requests and anomalous HTTP requests is proposed, which employs NLP techniques, ...
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May 22, 2024 · Section V reports the experiment settings, ablation study results and comparative performance of PowerBERT-based method and state-of-the-art.
This study proposes an optimized 1D convolutional neural network (1D CNN) model for effectively classifying IoT security data.
Oct 31, 2024 · This study introduces a phishing email detection framework that combines Bidirectional Encoder Representations from Transformers (BERT) for ...
Apr 5, 2024 · This paper presents a novel deep learning framework that integrates Bidirectional Encoder Representations from Transformers (BERT) and Long Short-Term Memory ( ...
Apr 25, 2024 · In this paper, we propose a framework based on Bidirectional Encoder Representations from Transformers (BERT) to identify and recognize behavioral IoCs in ...
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Posted: Jan 10, 2023
Posted: Jan 10, 2023
This paper proposes a framework based on an enhanced hybrid approach where Deep Learning model is nested with a Cookie Analysis Engine for web attacks detection ...