• Journal of the Korea Convergence Society
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• v.8 no.9
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• pp.1-7
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• 2017

As the network environment develops and speeds up, a lot of smart devices is developed, and a high-speed smart society can be realized while allowing people to interact with objects. As the number of things Internet has surged, a wide range of new security risks and problems have emerged for devices, platforms and operating systems, communications, and connected systems. Due to the physical characteristics of IoT devices, they are smaller in size than conventional systems, and operate with low power, low cost, and relatively low specifications. Therefore, it is difficult to apply the existing security solution used in the existing system. In addition, IoT devices are connected to the network at all times, it is important to ensure that personal privacy exposure, such as eavesdropping, data tampering, privacy breach, information leakage, unauthorized access, Significant security issues can arise, including confidentiality and threats to facilities. In this paper, we investigate cases of security threats and cases of network of IoT, analyze vulnerabilities, and suggest ways to minimize property damage by Internet of things.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.1
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• pp.117-126
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• 2019

The data generated in the IoT environment is very diverse. Especially, the development of the fourth industrial revolution has made it possible to increase the number of fixed and unstructured data generated in manufacturing facilities such as Smart Factory. With Big Data related solutions, it is possible to collect, store, process, analyze and visualize various large volumes of data quickly and accurately. Therefore, in this paper, we will directly generate data using Raspberry Pi used in IoT environment, and analyze using various Big Data solutions. Collected by using an Sqoop solution collected and stored in the database to the HDFS, and the process is to process the data by using the solutions available Hive parallel processing is associated with Hadoop. Finally, the analysis and visualization of the processed data via the R programming will be used universally to end verification.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.1
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• pp.11-17
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• 2021

Due to the recent development of the Internet of Things (IoT) and the increase in services using drones, research on IoD is actively underway. Drones have limited computational power and storage size, and when communicating between drones, data is exchanged after proper authentication between entities. Drones must be secure from traceability because they contain sensitive information such as location and travel path. In this paper, we point out a fatal security vulnerability that can be caused by the use of pseudonyms and certificates in existing IoD research and propose a solution.

• International Journal of Computer Science & Network Security
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• v.24 no.3
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• pp.83-92
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• 2024

It is a common observation that whenever any patient arrives at the front desk of a hospital, outpatient clinic, or other health-associated centers, they have to first queue up in a line and wait to fill in their registration form to get admitted. The long waiting time without any status updates is the most common complaint, worrying health officials. In this paper, UrNext, a location-aware mobile-based solution using Bluetooth low-energy (BLE) technology, is presented to solve the problem. Recently, a technology-oriented method has been gaining popularity in solving the healthcare sector's problems, namely the Internet of Things (IoT). The implementation of this solution could be explained through a simple example that when a patient arrives at a clinic for her consultation. There, instead of having to wait in long lines, she will be greeted automatically, receive a push notification telling her that she has been admitted along with an estimated waiting time for her consultation session. This will not only provide the patients with a sense of freedom but would also reduce uncertainty levels that are generally observed, thus saving both time and money. This work aimed to improve clinics' quality of services and organize queues and minimize waiting times in clinics, leading to patient comfortability and reducing the burden on nurses and receptionists. The results demonstrated that the presented system was successful in its performance and helped achieve high usability.

• Journal of Korea Society of Industrial Information Systems
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• v.22 no.4
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• pp.11-18
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• 2017

The Objective of this Study is to Prove the Effectiveness of a Smart Water Management(SWM) Technology. The SWM Technology can Reduce the Production Cost using Internet of Thing(IoT) Technology that Utilizes Remote Metering of Consumer's Water usage and Reduce the Leakage of Supply Facilities. The SWM Demonstration Model Installed a Remote Water Leakage Sensor, Smart Metering and Micro Multi Sensor in Water Supply Facility, and Provided Real-Time Monitoring of the Operation Status. Consumers can be Provided the usage of Tap Water and the Water Puality through a Smart Phone Application. At this Time, we Surveyed Whether Consumers save the Tap Water or Drinking Directly using the Tap Water usage Information. Also, this Study is to Verify the Degree of Improvement of Water Supply Rates and Drinking Water Rate, and to Decrease Consumer's Complaints, Operating Costs, and Water Consumption by the SWM Technology. It is also Established a SWM Model Combined with the IoT Sensor at Supply Facilities, operator monitoring system and explored recovery solution detected events. It means the upbringing of the domestic water industry by developing the related technologies and spreading the SWM to advanced levels.

• Journal of Information Processing Systems
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• v.14 no.1
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• pp.162-175
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• 2018

Currently, electricity consumption and feedback mechanisms are being widely researched in Internet of Things (IoT) areas to realise power consumption monitoring and management through the remote control of appliances. This paper aims to develop a smart electricity utilisation IoT platform with a deep belief network for electricity utilisation feature modelling. In the end node of electricity utilisation, a smart monitoring and control module is developed for automatically operating air conditioners with a gateway, which connects and controls the appliances through an embedded ZigBee solution. To collect electricity consumption data, a programmable smart IoT gateway is developed to connect an IoT cloud server of smart electricity utilisation via the Internet and report the operational parameters and working states. The cloud platform manages the behaviour planning functions of the energy-saving strategies based on the power consumption features analysed by a deep belief network algorithm, which enables the automatic classification of the electricity utilisation situation. Besides increasing the user's comfort and improving the user's experience, the established feature models provide reliable information and effective control suggestions for power reduction by refining the air conditioner operation habits of each house. In addition, several data visualisation technologies are utilised to present the power consumption datasets intuitively.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.4
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• pp.109-121
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• 2020

As a decrease in labor became a serious issue in the manufacturing industry, smart factory technology, which combines IT and the manufacturing business, began to attract attention as a solution. In this study, we have designed and implemented a real-time remote management system for smart factories, which is connected to an IoT sensor and gateway, for plastic manufacturing plants. By implementing the REST API in which an IoT sensor and smart gateway can communicate, the system enabled the data measured from the IoT sensor and equipment status data to the real-time monitoring system through the gateway. Also, a web-based management dashboard enabled remote monitoring and control of the equipment and raw material processing status. A comparative analysis experiment was conducted on the suggested system for the difference in processing speed based on equipment and measurement data number change. The experiment confirmed that saving equipment measurement data using cache mechanisim offered faster processing speed. Through the result our works can provide the basic framework to factory which need implement remote management system.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.254-255
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• 2016

최근 IT 기술이 눈에 띄게 발전해 가고 있는 가운데 그 중에서도 사물인터넷 또한 많은 발전을 해오고 있다. 그러나 사물인터넷은 보안에 매우 취약한 단점이 있다. 그 중에서도 요즈음 사물인터넷을 대상으로 한 랜섬웨어 공격이 기승을 부린다고 전해진다. 그 중 웹에 접속하여 파일을 다운받는 경로가 가장 많이 감염되는 경우이다. 이처럼 사용자가 원치 않게 악성코드가 다운되는 경우가 급격히 증가하고 있다. 본 논문에서는 이러한 경우를 고려하여 IoT 기기를 통해 파일을 다운 받거나 위험성이 있는 사이트에 방문 시 빅데이터를 사용하여 데이터를 먼저 분석하여 위험성 있는 구문을 삭제하거나 차단하여 안전한 데이터들만 사용자에게 전송하는 프로그램을 만들어 사용자의 디바이스를 보호하는 방향을 제안한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.256-257
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• 2016

인터넷의 발달이 증대함에 따라 컴퓨터를 전문적으로 사용하지 않더라도 가정에서 NAS등의 서버모델을 사용하는 경우가 많아졌다. 한번 구매하면 저전력으로 손쉽게 사용할 수 있는 대용량 서버모델의 사용자 수가 점차적으로 증가하고 있다. 이와 동시에 간단한 검색만으로 구할 수 있는 웹과 네트워크에 큰 악영향을 미치는 악성도구들도 인터넷상에 퍼지고 있다. 쉽게 얻은 해킹 도구로 간소하게 설치된 가정용 서버 등을 공격하는 빈도수가 점점 늘어나고 있는 추세이다. 본 연구는 가정용 IoT 서버 및 네트워크에서 이상 징후를 탐지하는 솔루션 모델의 구축을 제안하고자 한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.01a
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• pp.149-150
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• 2018

최근 IoT에 대한 관심이 높아지고 관련 연구가 활발히 진행됨에 따라 이를 적극 활용하는 스마트 아파트의 개발이 빠르게 진행되고 있다. 현재 스마트 아파트의 서비스들은 IoT 기술을 활용한 다양한 편의 기능 제공에 크게 집중하고 있다. 하지만 이러한 서비스에는 관리와 보안이 같이 접목되어 있지 않은 경우가 많다. 따라서 접근 제어를 통해 다양한 서비스에 대한 사용 권한을 관리해야 할 필요가 있다. 본 논문에서는 접근 제어 시스템을 추가함으로써 스마트 아파트의 다양한 서비스에 대한 사용 권한을 관리할 방법을 제안한다.