Hanyuan Huang

ORCID: 0000-0002-9805-7560
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About
Contact & Profiles
Research Areas
  • Evolutionary Game Theory and Cooperation
  • Opinion Dynamics and Social Influence
  • Network Security and Intrusion Detection
  • Experimental Behavioral Economics Studies
  • Smart Grid Security and Resilience
  • Energy Load and Power Forecasting
  • Game Theory and Applications
  • Anomaly Detection Techniques and Applications
  • Advanced Malware Detection Techniques
  • Power Systems and Technologies

Sichuan University
2023-2024

NARI Group (China)
2023

University of Oregon
2021-2022

The evolving unknown cyberattacks, compounded by the widespread emerging technologies (say 5G, Internet of Things, etc.), have rapidly expanded cyber threat landscape. However, most existing intrusion detection systems (IDSs) are effective in detecting only known because cyberattack samples usually available for IDS training. Identifying therefore, remains a big challenging issue. To meet this gap, paper, motivated artificial immunity (AIm) and differential evolution (DE), we propose...

10.1109/tevc.2024.3365101 article EN IEEE Transactions on Evolutionary Computation 2024-01-01

10.1007/s10441-022-09442-6 article EN Acta Biotheoretica 2022-06-17

Abstract Integrating industrial cyber-physical systems (ICPSs) with modern information technologies (5G, artificial intelligence, and big data analytics) has led to the development of intelligence. Still, it increased vulnerability such regarding cybersecurity. Traditional network intrusion detection methods for ICPSs are limited in identifying minority attack categories suffer from high time complexity. To address these issues, this paper proposes a scheme, which includes an...

10.2478/jaiscr-2023-0017 article EN Journal of Artificial Intelligence and Soft Computing Research 2023-10-01

In view of the shortage new energy consumption in current distribution network, this paper describes automatic generation technology regional optimization strategy based on graph neural network. First, a load prediction model network is established weather and light information. The forecasting further improved by dividing days according to working days, rest holidays. Secondly, K-means clustering algorithm used cluster historical operation data construct typical scenario set, build entropy...

10.1109/aeeca59734.2023.00148 article EN 2023-08-18
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