Leveraging artificial intelligence for enhancing cybersecurity: a deep learning approach to real-time threat detection

HIGHLIGHTS

• What: The research gap lies in the limited studies focused on deploying deep learning models in real-time threat detection frameworks, especially those tailored for complex and constantly changing cyber environments (Wang et_al, 2020). The aims of this research are to analyze the performance of deep learning models in identifying real-time threats, examine their adaptability to evolving cyber threats, and evaluate their practical implementation within cybersecurity frameworks (Wang and amp; Zhang, 2023). The studies are organized applications in cybersecurity (Nowell et_al, by author(s), year, research focus, and main 2017).
• Who: Lenovo from the . . .
  

   

  

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