Aechan Kim

ORCID: 0000-0003-2205-7174
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About
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Research Areas
  • Internet Traffic Analysis and Secure E-voting
  • Network Security and Intrusion Detection
  • Advanced Malware Detection Techniques

Deep Learning has been widely applied to problems in detecting various network attacks. However, no cases on security have shown applications of deep learning algorithms real-time services beyond experimental conditions. Moreover, owing the integration high-performance computing, it is necessary apply systems that can handle large-scale traffic. Given rapid evolution web-attacks, we implemented and our Artificial Intelligence-based Intrusion Detection System (AI-IDS). We propose an optimal...

10.1109/access.2020.2986882 article EN cc-by IEEE Access 2020-01-01
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