Yingjun He

ORCID: 0000-0003-4084-0621
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About
Contact & Profiles
Research Areas
  • Anomaly Detection Techniques and Applications
  • Internet Traffic Analysis and Secure E-voting
  • Smart Grid Security and Resilience
  • Network Security and Intrusion Detection
  • Blockchain Technology Applications and Security
  • Transportation and Mobility Innovations
  • Advanced Computational Techniques and Applications
  • Graph Theory and Algorithms
  • Vehicular Ad Hoc Networks (VANETs)
  • Occupational Health and Performance
  • Digital Media Forensic Detection
  • Food Supply Chain Traceability
  • Rough Sets and Fuzzy Logic
  • Technology Assessment and Management
  • Advanced Decision-Making Techniques
  • Neural Networks and Applications
  • Power Line Communications and Noise
  • Big Data and Digital Economy
  • Big Data Technologies and Applications

China Southern Power Grid (China)
2022-2024

Guangdong University Of Finances and Economics
2024

Guangdong University of Education
2024

Power Grid Corporation (India)
2023

Whitelisting is a widely used method in the security field. However, due to rapid development of Internet, traditional whitelisting cannot promote increasing Internet access. In recent years, with success machine learning different areas, many researchers focus on access through methods. The most common form supervised learning. Supervised requires large number labeled samples, but it difficult obtain samples practical applications. This paper introduced an unsupervised deep algorithm based...

10.1155/2022/4199044 article EN Computational Intelligence and Neuroscience 2022-05-23

Conventional power communication data link detection methods mainly focus on the of network intrusion characteristic data, and that has been invaded, resulting in reduction security business data. Therefore, a full method service is designed. In process transmission, exchange sharing network, detect threat describe type form protocol to provide guarantee for detection. Deploy vulnerable mechanism take as target attack, predict deploy according attack mode link, respond time when just occurs,...

10.1109/nnice61279.2024.10498750 article EN 2024-01-19

With the global energy structure transition and increasing emphasis on environmental protection, new vehicles, especially electric have become an irreversible trend. In order to efficiently conveniently provide power for rapidly growing fleet of multi-network interaction serves as a solution. It relies smart grids connect charging stations, parking facilities, optimizing supply. However, user usage across multiple platforms presents challenges in password management. Traditional vault...

10.1117/12.3038137 article EN 2024-08-22

To address the significant challenge of supply-demand balance in power system and better coordinate energy information interaction between electric vehicles smart grids, vehicular grid has been extensively studied. Blockchain technology characteristics decentralization, openness, non-tamperability, which is naturally suitable for distributed transactions with virtual plants. However, current plants face challenges credit management privacy protection, are not conducive to stability trading...

10.1051/e3sconf/202456503010 article EN cc-by E3S Web of Conferences 2024-01-01

In order to improve the security and evaluation accuracy of power grid business transformation data, this paper proposes a data quality method for based on isolation boundary. First, through boundary between internal external networks transmission. Secondly, within range boundary, is collected compression sensing theory. Finally, accuracy, integrity, consistency, timeliness redundancy are selected as indicators quality, weight analyzed determine model. According comprehensive score,...

10.1109/ispds58840.2023.10235634 article EN 2023-07-14

The current multi-source heterogeneous sensory data fusion lacks the application of user feedback, resulting in low satisfaction results. In this regard, a perceptual method for feedback is proposed. A storage model built to complete acquisition and data. Uniform semantic annotation stored Obtain relevance feedback. Based on information, dynamic completed. experiments show that average 0.9534, which significant improvement has high practical value.

10.1117/12.3004586 article EN 2023-10-11
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