General Research of End-to-End Network and Security
(GREENS) Laboratory

Artificial-Intelligence-of-Things (AIoT) is set to reshape our future by transforming multiple sectors including smart cities, healthcare and supply chains as follows, 

AIoT is a combination of Artificial Intelligence (AI) and the Internet of Things (IoT). It refers to the integration of AI technologies with IoT devices, enabling them to collect and analyze data, make autonomous decisions, and optimize their operations without human intervention.

In the IoT framework, devices are interconnected, collecting and sharing data over the internet. When AI is added to these devices, they can process this data in real-time, learning from it, detecting patterns, and making decisions to improve performance or user experience.

Key applications of AIoT include:

• Smart homes
e.g., AI-enhanced thermostats or lighting systems that learn user preferences

• Smart cities
e.g., traffic management systems, waste management, public safety

• Healthcare
e.g., wearable health monitors that use AI to predict health issues

• Manufacturing
e.g., predictive maintenance in industrial equipment

This combination leads to more intelligent, efficient, and adaptive systems.

AIoT in the healthcare field is driving innovation in medical services. In particular, AIoT technology, which enables real-time collection and analysis of patient data, can significantly improve the quality of healthcare in various aspects, such as personalized medical services, preventive medicine, and remote diagnosis.

Remote Diagnosis and Preventive Medicine Platform

To overcome the physical distance between patients and healthcare providers, we are developing a remote diagnosis platform. This system enables medical professionals to analyze real-time data provided by patients through AIoT devices and offer immediate consultations. Additionally, it provides health management programs based on data for preventive treatment and early diagnosis.

Security and Privacy Protection of Medical Data  

To protect sensitive medical data handled within healthcare systems, we will analyze security vulnerabilities that may occur during data transmission and storage, and research encryption technologies and secure data management solutions to address these issues. Additionally, we will explore methods for privacy protection, such as data anonymization and consent-based data utilization.

With the advent of the Fourth Industrial Revolution, the adoption of smart industry is accelerating across various sectors, including manufacturing. In particular, AIoT aims to collect, analyze, and optimize data in real-time on industrial sites, thereby improving productivity and reducing costs. This research aims to apply AIoT technology in smart industry environments to build real-time data-driven intelligent systems and maximize overall industrial efficiency through automated decision-making.

A smart city is a system that digitizes urban infrastructure to manage and optimize various urban functions, such as transportation, energy, and logistics, in real-time. Research on smart cities and AIoT aims to enhance efficient data collection, management, and security in smart cities using AIoT technology, as well as to establish response systems. The role of IoT in smart cities is transformative, allowing for data collection and management across public services. These devices range from connected sensors, streetlights, and meters to larger systems like waste and public transport management. By feeding all elements into a centralized control platform, cities can analyze real-time data, automate decisions optimized by artificial intelligence, and implement more efficient strategies, thereby improving urban living.

AI-based Threat Detection and Automatic Response System

We are developing a system that utilizes artificial intelligence to detect and automatically respond to cyberattacks, intrusion attempts, and system anomalies that may occur in smart city environments in real-time. By using deep learning and machine learning algorithms to learn various security threat patterns, the system ensures quick response to security incidents through automated response processes.

• GREENS Laboratory is working on the following research topics:

  • • Cyber Security - TAXI server:

      • • Artificial Intelligence 

        • Infrastructure

• • • Blockchain technology for Privacy and Cybersecurity

      • • Medical Data Management