2021, Vol.7, No.3

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

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

With the rapid increase in the use of IoT and mobile devices, cyber criminals targeting IoT devices are also on the rise. Among IoT devices, when using a wireless access point (AP), problems such as packets being exposed to the outside due to their own security vulnerabilities or easily infected with malicious codes such as bots, causing DDoS attack traffic, are being discovered. Therefore, in this study, in order to actively respond to cyber attacks targeting IoT devices that are rapidly increasing in recent years, we proposed a method to collect traces of intrusion incidents artifacts from IoT devices, and to improve the validity of intrusion analysis data. Specifically, we presented a method to acquire and analyze digital forensics artifacts in the compromised system after identifying the causes of vulnerabilities by reproducing the behavior of the sample IoT malware. Accordingly, it is expected that it will be possible to establish a system that can efficiently detect intrusion incidents on targeting large-scale IoT devices.

This paper discovers the energy loss factors through the insulation diagnosis of houses or buildings, and proposes directions for energy efficiency improvement. The energy efficiency factor of a building consists of insulation diagnosis, thermal bridge diagnosis, window diagnosis, airtight diagnosis, and equipment diagnosis. Among the residents and facilities in the energy welfare blind spot, an energy efficiency diagnosis was conducted for one senior citizen building located in Naju-si, Jeollanam-do, and energy efficiency diagnosis was conducted after insulation was installed. Energy measurement, diagnosis and analysis were performed using the IoT-based integrated wired/wireless energy diagnosis platform, Energy Finder. As a result of comparison, an overall energy saving rate of 16.38% was achieved. Annual heating energy consumption per unit area decreased from 333.51kWh before construction to 277.35kWh after construction, and annual cooling energy consumption per unit area decreased from 5.51kWh before construction to 5.22kWh after construction. The annual primary energy consumption per unit area decreased from 464.52kWh before construction to 403.69kWh after construction, and the annual energy cost was reduced from 3,063,307.14 won before construction to 2,641,072.49 won after construction. The additional improvement work is needed on the standards affecting energy efficiency other than insulation.

The purpose of this study is to identify the factors that influence the nursing students' nurse image and professional self-concept on career exploration. This study was accomplished on 153 students in the 2nd, 3rd and 4th grades of the Department of Nursing Science at a college in area Y, and data were collected from July 1 to August 31, 2020 using a structured questionnaire. Measurement tools consisted of nurse image, professional self-concept, and career exploration behavior. Data processing was performed using the SPSS 22.0 program where general characteristics were analyzed by t-test, ANONA and post examination tests by Scheffe's test, using mean score, standard deviation, Pearson's correlation, and stepwise multiple regression. Nursing students' nurse image, professional self-concept, and career exploration behavior were all found to have significant positive correlations, and the most influential variable was professional self-concept. As for the total explanatory power of these variables, model 2 showed 25% explanatory power, which was increased by 2% compared to model 1. Based on this result, it is necessary to develop education and a career exploration action program which can improve the nurse image and professional self-concept.