Publications by authors named "Bailin Zou"
Article Synopsis
- - The paper discusses the significance of deep learning (DL) models in intrusion detection, detailing commonly used datasets and methods in the field of cybersecurity for guiding future research efforts.
- - It provides an overview of seven different DL-based intrusion detection models, including architectures like deep neural networks and transformers, highlighting their unique features and applications.
- - The article emphasizes the need for further research in four specific areas to enhance the effectiveness and adaptability of DL-based systems against evolving cybersecurity threats, suggesting that advancements will lead to more accurate and efficient detection methods.
