2025, Vol.11, No.1

Journal of Internet of Things and Convergence 2023 KCI Impact Factor : 0.89

pISSN : 2466-0078
https://journal.kci.go.kr/kiots

In this paper, we present the results of building a system to identify and manage hazardous situations in indoor spaces. To this end, situational information collected through a BLE mesh network consisting of various sensors is collected using the LWM2M protocol, detects rule-based events, and supports real-time response. In addition, it provides SNMP-based network operation information to monitor network operation status, and also provides technology to predict future situation information by applying AI technology. In this study, in order to provide efficient situation information about indoor space, time series DB and spatial DBMS were applied together to store and manage various types of data in an integrated manner.

Small and medium-sized enterprises(SMEs) in IoT environment are continuously exposed to evolving security threats, necessitating effective response strategies. Security vulnerabilities in SMEs can result in severe damage due to external attacks and internal security incidents, highlighting the need for a systematic information security consulting model to prevent and mitigate such risks. This study aims to design a security vulnerability analysis and response model based on data obtained through information security consulting for ten SMEs. To achieve this, major security threat factors identified during the consulting process are analyzed, and a tailored security consulting framework incorporating vulnerability assessment and response strategies is proposed. The proposed model is designed as a security consulting process optimized for SMEs, encompassing threat types, breach scenarios, and response procedures. Furthermore, it suggests practical response strategies that can be effectively implemented in real-world SME environments

Due to the acceleration of energy transition, renewable energy sources are continuously increasing. This may cause renewable energy sources to be concentrated in certain areas, which may create bottlenecks between power plants and loads, and negatively affect the stability of the entire power system. Bottlenecks may cause power shortages in loads or limit the integration of renewable energy. In this paper, we propose a low-frequency transmission technology to solve these problems, and select the installation location of the proposed low-frequency transmission system using the grid partitioning technique. Low-frequency transmission is a power transmission technology that uses a frequency of approximately 20 Hz. We evaluate the stability based on the grid where the low-frequency transmission system is installed. The grid partitioning is performed using the IEEE 39 bus system, and the stability analysis of the grid where the low-frequency transmission system is applied is performed, and the simulation is performed using MATLAB.