Gwanggil Jeon
Biographic Data
| ID | 7573192 |
|---|---|
| NAME | Gwanggil Jeon |
| GIVEN NAMES | Gwanggil |
| FAMILY NAME | Jeon |
| SIGNATURE | JEON G |
| AFFILIATIONS | Incheon National University |
| ORCID | 0000-0002-0651-4278 |
| VERIFIED | Yes |
| TOTAL WORKS | 21 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 21 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Federated Learning-Driven Face Forgery Detection via Rich Feature Complementary Fusion
The rapid expansion of cyber–physical–social systems (CPSSs) highlights the critical need for authentic digital interactions. However, this progress is threatened by deepfake technology, which can undermine system security and trust. Existing deepfake detection models, while effective, typically require centralized data and thus create significant privacy and security vulnerabilities. Furthermore, their reliance on single-modal RGB data limits th…
Leveraging Multimodal LLMs and Metaverse Technologies for Early Diagnosis of Elderly Diseases
Training-Free 3-D Face Avatars Generation by Knowledge Discovering in Foundational Models
An informative 3-D avatar, closely mirroring real-world traits, plays a pivotal role in accessing the metaverse. Traditional methods for creating 3-D avatars usually employ one-to-one training, which restricts avatar diversity. To enhance style diversity in generated 3-D avatars, we utilize synthesized images derived with prompts from ChatGPT in a conversational manner, ultimately resulting in a broader range of 3-D variations. Rather than creati…
Enhancing DDoS Detection for Edge Networks With Noise-Tolerant Shallow Neural Networks in Computational Social Systems
Distributed denial of service (DDoS) attacks continue to undermine the reliability of edge networks and computational social systems, where massive connectivity, heterogeneous devices, and tight resource budgets complicate real-time defense. Although deep learning has delivered strong detection accuracy, the accompanying computational cost and limited interpretability hinder deployment at the edge. This article introduces a noise-tolerant shallow…
Space–Frequency and Global–Local Attentive Networks for Sequential Deepfake Detection
The widespread misinformation generated by deepfake systems has emerged as a significant challenge in the dynamic realm of digital media. It poses threats to credibility, privacy, and security of information in daily life. Moreover, the increasing accessibility to facial editing tools further enables users to alter facial characteristics subtly through a series of intricate steps. To address the issue, we introduce a space–frequency and global–lo…
Using Multiplex Networks to Understand Physical–Digital Structural Consistency for Social Fintech Sustainable Development
Social fintech envelopes social networks within financial concepts and tokenization, and its complexity requires innovative technological solutions and theories to meet user demands and achieve sustainability. The first thing is the mapping principle between physical real society and virtual digital world. Therefore, this article uses online game Nova Empire as a case study, aiming at using multiplex networks to understand the physical–digital st…
Context-Aware Deepfake Detection for Securing AI-Driven Financial Transactions
The rapid advancement of deepfake technology has threatened the community’s sense of security, particularly in the context of face-based payment systems. Thus, deepfake detection has emerged as a critical issue demanding immediate attention. However, the generalization performance of existing detection models is limited as they are overly reliant on specific forged features while ignoring the common forged features. To address this problem, we in…
Modeling the Contributions of Participator, Content, and Network to Topic Duration in Online Social Group
As a common phenomenon that often appears on social platforms, news sites, and community forums, topics have played an irreplaceable role in public opinion and social governance. Meanwhile, people's daily lives are increasingly dependent on the breeding, transformation, and attenuation of hot topics. This article aims to discuss the problem about topic duration, that is, what are the principle factors that affect topic duration? Why do some topic…
Blockchain-Enabled Intelligent IoT Protocol for High-Performance and Secured Big Financial Data Transaction
In the recent era, the communication network with the support of many wireless technologies is giving benefits for remote access. Such a communication model increases the flexibility for data storage with the management of network resources efficiently with the integration of the Internet of Things (IoT). Although, the industrial Internet of Things (IIoT) has enabled the development of numerous machine learning-based solutions to provide real-tim…
Towards Understanding Metaverse Engagement via Social Patterns and Reward Mechanism
With the constant fusion of virtual and reality, a new vision of human beings has emerged—Metaverse. At present, the development of metaverse is still in its infancy, and although the industry has put feverish investment into it, there are still many problems that need to be discussed in academia. The first thing is user engagement. Metaverse relies heavily on massive online users to realize its social value. In other words, user engagement is th…
A Cyber Secure Medical Management System by Using Blockchain
In the pharmaceutical industry, problems like counterfeit drugs, including vaccines, and their supply chain management problems like transparency, immutability, and traceability exist. In the case of vaccines, it becomes more difficult to standardize and detect fake vaccines because the public has less awareness and knowledge about vaccines. Moreover, the increase in online pharmacies gives more opportunities for counterfeiting vaccines to enter …
Internet of health things driven deep learning-based system for non-invasive patient discomfort detection using time frame rules and pairwise keypoints distance feature
Sustainable society via complexity analysis of the relationship between virtual game reward mechanism and addiction
A sustainable advanced artificial intelligence-based framework for analysis of Covid-19 spread
Social distance monitoring framework using deep learning architecture to control infection transmission of Covid-19 pandemic
Towards greener smart cities and road traffic forecasting using air pollution data
Electric-vehicle energy management and charging scheduling system in sustainable cities and society
Adapting Gaussian Yolov3 with transfer learning for overhead view human detection in smart cities and societies
A deep learning-based social distance monitoring framework for Covid-19
A novel and secure attacks detection framework for smart cities industrial internet of things
An interference aware energy efficient data transmission approach for smart cities healthcare systems
No prominent works on this page.
A novel and secure attacks detection framework for smart cities industrial internet of things
An interference aware energy efficient data transmission approach for smart cities healthcare systems
Social distance monitoring framework using deep learning architecture to control infection transmission of Covid-19 pandemic
Towards greener smart cities and road traffic forecasting using air pollution data
Electric-vehicle energy management and charging scheduling system in sustainable cities and society
Adapting Gaussian Yolov3 with transfer learning for overhead view human detection in smart cities and societies
A deep learning-based social distance monitoring framework for Covid-19
Internet of health things driven deep learning-based system for non-invasive patient discomfort detection using time frame rules and pairwise keypoints distance feature
Sustainable society via complexity analysis of the relationship between virtual game reward mechanism and addiction
A sustainable advanced artificial intelligence-based framework for analysis of Covid-19 spread
Towards Understanding Metaverse Engagement via Social Patterns and Reward Mechanism
With the constant fusion of virtual and reality, a new vision of human beings has emerged—Metaverse. At present, the development of metaverse is still in its infancy, and although the industry has put feverish investment into it, there are still many problems that need to be discussed in academia. The first thing is user engagement. Metaverse relies heavily on massive online users to realize its social value. In other words, user engagement is th…
A Cyber Secure Medical Management System by Using Blockchain
In the pharmaceutical industry, problems like counterfeit drugs, including vaccines, and their supply chain management problems like transparency, immutability, and traceability exist. In the case of vaccines, it becomes more difficult to standardize and detect fake vaccines because the public has less awareness and knowledge about vaccines. Moreover, the increase in online pharmacies gives more opportunities for counterfeiting vaccines to enter …
Modeling the Contributions of Participator, Content, and Network to Topic Duration in Online Social Group
As a common phenomenon that often appears on social platforms, news sites, and community forums, topics have played an irreplaceable role in public opinion and social governance. Meanwhile, people's daily lives are increasingly dependent on the breeding, transformation, and attenuation of hot topics. This article aims to discuss the problem about topic duration, that is, what are the principle factors that affect topic duration? Why do some topic…
Blockchain-Enabled Intelligent IoT Protocol for High-Performance and Secured Big Financial Data Transaction
In the recent era, the communication network with the support of many wireless technologies is giving benefits for remote access. Such a communication model increases the flexibility for data storage with the management of network resources efficiently with the integration of the Internet of Things (IoT). Although, the industrial Internet of Things (IIoT) has enabled the development of numerous machine learning-based solutions to provide real-tim…
Training-Free 3-D Face Avatars Generation by Knowledge Discovering in Foundational Models
An informative 3-D avatar, closely mirroring real-world traits, plays a pivotal role in accessing the metaverse. Traditional methods for creating 3-D avatars usually employ one-to-one training, which restricts avatar diversity. To enhance style diversity in generated 3-D avatars, we utilize synthesized images derived with prompts from ChatGPT in a conversational manner, ultimately resulting in a broader range of 3-D variations. Rather than creati…
Enhancing DDoS Detection for Edge Networks With Noise-Tolerant Shallow Neural Networks in Computational Social Systems
Distributed denial of service (DDoS) attacks continue to undermine the reliability of edge networks and computational social systems, where massive connectivity, heterogeneous devices, and tight resource budgets complicate real-time defense. Although deep learning has delivered strong detection accuracy, the accompanying computational cost and limited interpretability hinder deployment at the edge. This article introduces a noise-tolerant shallow…
Space–Frequency and Global–Local Attentive Networks for Sequential Deepfake Detection
The widespread misinformation generated by deepfake systems has emerged as a significant challenge in the dynamic realm of digital media. It poses threats to credibility, privacy, and security of information in daily life. Moreover, the increasing accessibility to facial editing tools further enables users to alter facial characteristics subtly through a series of intricate steps. To address the issue, we introduce a space–frequency and global–lo…
Using Multiplex Networks to Understand Physical–Digital Structural Consistency for Social Fintech Sustainable Development
Social fintech envelopes social networks within financial concepts and tokenization, and its complexity requires innovative technological solutions and theories to meet user demands and achieve sustainability. The first thing is the mapping principle between physical real society and virtual digital world. Therefore, this article uses online game Nova Empire as a case study, aiming at using multiplex networks to understand the physical–digital st…
Context-Aware Deepfake Detection for Securing AI-Driven Financial Transactions
The rapid advancement of deepfake technology has threatened the community’s sense of security, particularly in the context of face-based payment systems. Thus, deepfake detection has emerged as a critical issue demanding immediate attention. However, the generalization performance of existing detection models is limited as they are overly reliant on specific forged features while ignoring the common forged features. To address this problem, we in…
Federated Learning-Driven Face Forgery Detection via Rich Feature Complementary Fusion
The rapid expansion of cyber–physical–social systems (CPSSs) highlights the critical need for authentic digital interactions. However, this progress is threatened by deepfake technology, which can undermine system security and trust. Existing deepfake detection models, while effective, typically require centralized data and thus create significant privacy and security vulnerabilities. Furthermore, their reliance on single-modal RGB data limits th…
Leveraging Multimodal LLMs and Metaverse Technologies for Early Diagnosis of Elderly Diseases
Computer Science (18 works) · Artificial Intelligence (10 works) · Computer security (6 works) · Business (5 works) · Engineering (4 works) · Machine learning (4 works) · Sociology (4 works) · Anomaly Detection Techniques and Applications (3 works) · Blockchain Technology Applications and Security (3 works) · COVID-19 diagnosis using AI (3 works)