Kim‐Kwang Raymond Choo
Biographic Data
| ID | 7083614 |
|---|---|
| NAME | Kim‐Kwang Raymond Choo |
| GIVEN NAMES | Kim‐Kwang Raymond |
| FAMILY NAME | Choo |
| SIGNATURE | CHOO K K R |
| AFFILIATIONS | The University of Texas at San Antonio |
| ORCID | 0000-0001-9208-5336 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Forecasting Cyber Threats and Pertinent Mitigation Technologies
Geopolitical instability is exacerbating the risk of catastrophic cyber-attacks striking where defences are weak. Nevertheless, cyber-attack trend forecasting predominantly relies on human expertise, which is susceptible to subjectivity and potential bias. As a solution, we have recently presented a novel study that harnesses machine learning for long-term cyber-attack forecasting. Building upon this groundwork, our research advances to the next …
Detecting and Mitigating the Dissemination of Fake News
Fake news is a major threat to democracy (e.g., influencing public opinion), and its impact cannot be understated particularly in our current socially and digitally connected society. Researchers from different disciplines (e.g., computer science, political science, information science, and linguistics) have also studied the dissemination, detection, and mitigation of fake news; however, it remains challenging to detect and prevent the disseminat…
Disinformation Propagation Trend Analysis and Identification Based on Social Situation Analytics and Multilevel Attention Network
Digital disinformation, such as those occurring on online social networks (OSNs), can influence public opinion, create mistrust and division, and impact decision- and policy-making. In this study, we propose a disinformation diffusion trend analysis and identification method, which uses social situation analytics and a multilevel attention network. First, we present a division and feature representation approach of social user circle based on the…
Resilience capabilities of healthcare supply chain and supportive digital technologies
Toward Artificial Emotional Intelligence for Cooperative Social Human–Machine Interaction
The aptitude to identify the emotional states of others and response to exposed emotions is an important aspect of human social intelligence. Robots are expected to be prevalent in society to assist humans in various tasks. Human-robot interaction (HRI) is of critical importance in the assistive robotics sector. Smart digital assistants and assistive robots fail quite often when a request is not well defined verbally. When the assistant fails to …
Privacy concerns and benefits of engagement with social media-enabled apps
Toward Artificial Emotional Intelligence for Cooperative Social Human–Machine Interaction
The aptitude to identify the emotional states of others and response to exposed emotions is an important aspect of human social intelligence. Robots are expected to be prevalent in society to assist humans in various tasks. Human-robot interaction (HRI) is of critical importance in the assistive robotics sector. Smart digital assistants and assistive robots fail quite often when a request is not well defined verbally. When the assistant fails to …
Privacy concerns and benefits of engagement with social media-enabled apps
Resilience capabilities of healthcare supply chain and supportive digital technologies
Disinformation Propagation Trend Analysis and Identification Based on Social Situation Analytics and Multilevel Attention Network
Digital disinformation, such as those occurring on online social networks (OSNs), can influence public opinion, create mistrust and division, and impact decision- and policy-making. In this study, we propose a disinformation diffusion trend analysis and identification method, which uses social situation analytics and a multilevel attention network. First, we present a division and feature representation approach of social user circle based on the…
Detecting and Mitigating the Dissemination of Fake News
Fake news is a major threat to democracy (e.g., influencing public opinion), and its impact cannot be understated particularly in our current socially and digitally connected society. Researchers from different disciplines (e.g., computer science, political science, information science, and linguistics) have also studied the dissemination, detection, and mitigation of fake news; however, it remains challenging to detect and prevent the disseminat…
Forecasting Cyber Threats and Pertinent Mitigation Technologies
Geopolitical instability is exacerbating the risk of catastrophic cyber-attacks striking where defences are weak. Nevertheless, cyber-attack trend forecasting predominantly relies on human expertise, which is susceptible to subjectivity and potential bias. As a solution, we have recently presented a novel study that harnesses machine learning for long-term cyber-attack forecasting. Building upon this groundwork, our research advances to the next …
Computer Science (6 works) · Data science (3 works) · Psychology (3 works) · World Wide Web (3 works) · Advanced Malware Detection Techniques (2 works) · Artificial Intelligence (2 works) · Business (2 works) · Computer security (2 works) · Internet privacy (2 works) · Misinformation and Its Impacts (2 works)