• Title/Summary/Keyword: IoT Device Control

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An IoT Tag and Social Message-based Device Control System (IoT 태그 및 소셜 메시지 기반 사물 제어 시스템)

  • Baek, Seung Min;Jin, Yeon Ju;Ha, Kwon Woo;Han, Sang Wook;Jeong, Jin-Woo
    • KIISE Transactions on Computing Practices
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    • v.23 no.9
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    • pp.550-556
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    • 2017
  • Due to the rapid growth and development of Internet of Things (IoT), various devices are now accessible and controllable anytime from anywhere. However, the current IoT system requires a series of complex steps (e.g., launch an application, choose a space and thing, control the thing, etc.) to control the IoT devices; therefore, IoT suffers from a lack of efficient and intuitive methods of interacting with users. To address this problem, we propose a novel IoT control framework based on IoT tags and social messages. The proposed system provides an intuitive and efficient way to control the device based on the device ownership: 1) users can easily control the device by IoT tagging, or 2) users can send an IoT social message to the device owner to request control of the tagged device. Through the development of the prototype system, we show that the proposed system provides an efficient and intuitive way to control devices in the IoT environment.

An efficient access control techniques between different IoT devices in a cloud environment (클라우드 환경에서 서로 다른 IoT 장치간 효율적인 접근제어 기법)

  • Jeong, Yoon-Su;Han, Kun-Hee
    • Journal of the Korea Convergence Society
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    • v.9 no.4
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    • pp.57-63
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    • 2018
  • IoT devices are used in many areas to perform various roles and functions in a cloud environment. However, a method of access control that can stably control the IoT device has not been proposed yet. In this paper, we propose a hierarchical multi-level property access control scheme that can perform stable access of IoT devices used in a cluster environment. In order to facilitate the access of the IoT device, the proposed method not only provides the ID key (security token) unique to the IoT device by providing the IoT Hub, but also allows the IoT Hub to authenticate the X.509 certificate and the private key, So that the private key of the IoT device can not be seen outside the IoT device. As a result of the performance evaluation, the proposed method improved the authentication accuracy by 10.5% on average and the processing time by 14.3%. The overhead of IoT Hub according to the number of IoT attributes was 9.1% lower than the conventional method.

Smart IoT Home Data Analysis and Device Control Algorithm Using Deep Learning (딥 러닝 기반 스마트 IoT 홈 데이터 분석 및 기기 제어 알고리즘)

  • Lee, Sang-Hyeong;Lee, Hae-Yeoun
    • KIPS Transactions on Computer and Communication Systems
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    • v.7 no.4
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    • pp.103-110
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    • 2018
  • Services that enhance user convenience by using various IoT devices are increasing with the development of Internet of Things(IoT) technology. Also, since the price of IoT sensors has become cheaper, companies providing services by collecting and utilizing data from various sensors are increasing. The smart IoT home system is a representative use case that improves the user convenience by using IoT devices. To improve user convenience of Smart IoT home system, this paper proposes a method for the control of related devices based on data analysis. Internal environment measurement data collected from IoT sensors, device control data collected from device control actuators, and user judgment data are learned to predict the current home state and control devices. Especially, differently from previous approaches, it uses deep neural network to analyze the data to determine the inner state of the home and provide information for maintaining the optimal inner environment. In the experiment, we compared the results of the long-term measured data with the inferred data and analyzed the discrimination performance of the proposed method.

Voice-based Device Control Using oneM2M IoT Platforms

  • Jeong, Isu;Yun, Jaeseok
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.3
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    • pp.151-157
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    • 2019
  • In this paper, we present a prototype system for controlling IoT home appliances via voice-based commands. A voice command has been widely deployed as one of unobtrusive user interfaces for applications in a variety of IoT domains. However, interoperability between diverse IoT systems is limited by several dominant companies providing voice assistants like Amazon Alexa or Google Now due to their proprietary systems. A global IoT standard, oneM2M has been proposed to mitigate the lack of interoperability between IoT systems. In this paper, we deployed oneM2M-based platforms for a voice record device like a wrist band and LED control device like a home appliance. We developed all the components for recording voices and controlling IoT devices, and demonstrate the feasibility of our proposed method based on oneM2M platforms and Google STT (Speech-to-Text) API for controlling home appliances by showing a user scenario for turning the LED device on and off via voice commands.

An Education Method of Java SW Designs for IoT Wireless Device Control using Microbits (마이크로비트를 이용한 IoT 무선 디바이스 제어용 Java SW설계 교육 방법)

  • Hur, Kyeong
    • Journal of Practical Engineering Education
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    • v.12 no.1
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    • pp.85-91
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    • 2020
  • SW which controls IoT devices using wireless communication technology must operate without errors. In order for IoT devices to be widely used, the technical skills of engineers who design such software must be improved. Compared to designing the input / output SW of a single device, the SW Flowchart design and Java SW programming process that clearly define various input / output relations between the transmitter and the receiver are complicated. In this paper, we proposed a SW Flowchart design method for controlling IoT devices based on wireless communication. In this process, it is explained that the entire control algorithm is implemented through a problem division process. In addition, we proposed an educational method for programming the designed SW Flowchart into Java SW using Microbits, which are educational IoT devices. In the course to which this education method was applied, the results of satisfaction evaluation of students were analyzed, and the effectiveness of the IoT device control SW education method using Microbits was analyzed.

System Hardening and Security Monitoring for IoT Devices to Mitigate IoT Security Vulnerabilities and Threats

  • Choi, Seul-Ki;Yang, Chung-Huang;Kwak, Jin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.2
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    • pp.906-918
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    • 2018
  • The advent of the Internet of Things (IoT) technology, which brings many benefits to our lives, has resulted in numerous IoT devices in many parts of our living environment. However, to adapt to the rapid changes in the IoT market, numerous IoT devices were widely deployed without implementing security by design at the time of development. As a result, malicious attackers have targeted IoT devices, and IoT devices lacking security features have been compromised by attackers, resulting in many security incidents. In particular, an attacker can take control of an IoT device, such as Mirai Botnet, that has insufficient security features. The IoT device can be used to paralyze numerous websites by performing a DDoS attack against a DNS service provider. Therefore, this study proposes a scheme to minimize security vulnerabilities and threats in IoT devices to improve the security of the IoT service environment.

The Design and Implementation of IoT-Based Radon Measurement Control System (IoT 기반 라돈 측정 제어시스템 설계 및 구현)

  • Ahn, Heuihak;Gu, Jayeong;Lee, Sangyoon
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.16 no.1
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    • pp.1-10
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    • 2020
  • This paper is a IoT-based radon meter control system and a radon meter control method using it. The IoT-based radon meter control system is control system for controlling a radon meter by network-connecting radon meter and a user terminal. The radon measuring device may be provided with a radon sensor to measure a radon value of a preset management target area, it collect and store numerical data. The radon meter control system monitors the condition of the radon meter, it includes control center configured to deliver radon meter management information generated to a user terminal. Also radon measurements to determine the exact amount of radon gas. Therefore, the situation-specific actions based on radon numbers can be promptly implemented to ensure adequate protection for those who are vulnerable to radon and those who live in the area. Condition monitoring allows the radon meter to respond quickly to failure or failure of the radon meter. In addition, it is possible to secure a baseline of radon's influence and to obtain research data to cope with radon by establishing big data with radon measurements.

IoT based User Remote Control Analysis Algorithm (IoT 기반 사용자 원격 제어 분석 알고리즘)

  • Jeong, Dohyeong;Yu, Donggyun;Lee, Kyouhwan;Kim, Hosung;Jung, Hoekyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.10a
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    • pp.725-726
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    • 2017
  • Recently, IoT (Internet of Things) has been applied to various fields, not limited to places, through continuous research. However, the existing IoT system is based on the surrounding environment rather than the user-oriented operation of the device. therefore, there is a problem in that the efficiency and accuracy of the work are low. In this paper, we propose a user remote control analysis algorithm to solve these problems. When the user performs the remote control, the command is collected and the data is sorted according to the device and time. Analyze time-dependent behavior of devices based on sorted data. based on the results of the analysis, the environment is controlled by operating the device inside the home. Therefore, it is expected that the accuracy and convenience of device operation will be increased by providing customized service to users.

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HFN-Based Right Management for IoT Health Data Sharing (IoT 헬스 데이터 공유를 위한 HFN 기반 권한 관리)

  • Kim, Mi-sun;Park, Yongsuk;Seo, Jae-Hyun
    • Smart Media Journal
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    • v.10 no.1
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    • pp.88-98
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    • 2021
  • As blockchain technology has emerged as a security issue for IoT, technology which integrates block chain into IoT is being studied. In this paper is a research concerning token-based IoT service access control technology for data sharing, which propose a possessor focused data sharing technic by using the permissioned blockchain. To share IoT health data, a Hyperledger Fabric Network consisting of three organizations was designed to provide a way to share data by applying different access control policies centered on device owners for different services. In the proposed system, the device owner issues access control tokens with different security levels applied to the participants in the organization, and the token issue information is shared through the distributed ledger of the HFN. In IoT, it is possible to lightweight the access control processing of IoT devices by granting tokens to service requesters who request access to data. Furthmore, by sharing token issuance information among network participants using HFN, the integrity of the token is guaranteed and all network participants can trust the token. The device owners can trust that their data is being used within their authorized rights, and control the collection and use of data.

Device Personalization Methods for Enhancing Packet Delay in Small-cells based Internet of Things (스몰셀 기반 사물인터넷에서 패킷 지연시간 향상을 위한 디바이스 개인화 방법)

  • Lee, ByungBog;Han, Wang Seok;Kim, Se-Jin
    • Journal of Internet Computing and Services
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    • v.17 no.6
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    • pp.25-31
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    • 2016
  • Recently, with greatly improving the wireless communication technology, new services are created using smart sensors, i.e., machine-to-machine (M2M) and Internet of Things (IoT). In this paper, we propose a novel IoT device (IoTD) personalization method that adopt Small-cell Access Points (SAPs) to control IoTDs using user equipments (UEs), e.g., smart phones and tablet PC, from service users. First, we introduce a system architecture that consists of UE, IoTD, and SAP and propose the IoTD personalization method with two procedures, i.e., IoTD profile registration procedure and IoTD control procedure. Finally, through simulations, we evaluated the system performance of the proposed scheme and it is shown that the proposed scheme outperforms the conventional scheme in terms of the packet delay, packet loss probability, and normalized throughput.