• Title/Summary/Keyword: Smart IoT

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Threats Analysis and Mobile Key Recovery for Internet of Things (IoT 환경에서의 보안위협 분석과 모바일 키 복구)

  • Lee, Yunjung;Park, Yongjoon;Kim, Chul Soo;Lee, Bongkyu
    • Journal of Korea Multimedia Society
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    • v.19 no.5
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    • pp.918-923
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    • 2016
  • IoT should be considered security risk environments such as various platforms and services including smart devices that can be mounted on household electric appliances, healthcare, car, and heterogeneous networks that are connected to the Internet, cloud services and mobile Apps.. In this paper, we provide analysis of new security threats, caused by open-platform of IoT and sensors via the Internet. Also, we present the key recovery mechanism that is applied to IoT. It results to have compatibility with given research, reduces network overhead, and performs key recovery without depending on key escrow agencies or authorized party.

Design of Lightweight JavaScript Software Platform for the Internet of Things

  • Lee, Wonjun;Na, Yeoul;Kim, Seon Wook
    • IEIE Transactions on Smart Processing and Computing
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    • v.3 no.6
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    • pp.393-396
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    • 2014
  • Recently, the internet of things (IoT) has become increasingly attractive in many areas to realize smart worlds. JavaScript has become prevalent for IoT programming because of its familiarity with web programmers. On the other hand, JavaScript does not allow the direct control of IoT hardware due to its language limitation. This paper proposes the IoT software platform for JavaScript programming to resolve the limitation. For proof of concept, the platform based on SpiderMonkey and Raspberry Pi was implemented.

A User Recognition Method based on Context Awareness in BLE Beacon-based Electronic Attendance System (BLE 비콘 기반 전자 출결 시스템에서의 상황인지를 기반으로 한 사용자 인식 기법)

  • Kang, Seung-Wan;Kim, Young-Kuk
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.05a
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    • pp.609-610
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    • 2017
  • As interest in IoT has increased recently, services using IoT devices and smart phones have been applied to various industries. Among them, the electronic attendance system has been built and serviced by various institutions, but There is a problem that the user recognition is not accurate yet. In this paper, we propose a context recognition based user recognition method that can improve the accuracy of user recognition part in a system based on BLE beacon among existing electronic attendance systems.

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Implementation of IoT-based Automatic Inventory Management System

  • Choi, Eun-Soo;Kang, Min-Soo;Jung, Yong Gyu;Paik, Jean Kyung
    • International Journal of Advanced Culture Technology
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    • v.5 no.1
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    • pp.70-75
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    • 2017
  • Recent development of IT industry including smart phones and communication technologies has resulted in rapid growth of Internet of Things (IoT) technology and relevant markets. The access to IoT is becoming easier thanks to the boards and IoT products, such as Arduino and Raspberry Pi. Large-scale business sites use IoT technology to manage inventories, but small-scale business sites do not. In the present study, We ported Linux-based Raspbian to Raspberry Pi, It utilizes web server communication to control the Arduino through the application We used a color sensor to figure out the kind of inventory. We also built a database using MySQL to store the data. We used raspberry pi to check whether the proposed system works and apply it to small-scale business.

Dynamic Computation Offloading Based on Q-Learning for UAV-Based Mobile Edge Computing

  • Shreya Khisa;Sangman Moh
    • Smart Media Journal
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    • v.12 no.3
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    • pp.68-76
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    • 2023
  • Emerging mobile edge computing (MEC) can be used in battery-constrained Internet of things (IoT). The execution latency of IoT applications can be improved by offloading computation-intensive tasks to an MEC server. Recently, the popularity of unmanned aerial vehicles (UAVs) has increased rapidly, and UAV-based MEC systems are receiving considerable attention. In this paper, we propose a dynamic computation offloading paradigm for UAV-based MEC systems, in which a UAV flies over an urban environment and provides edge services to IoT devices on the ground. Since most IoT devices are energy-constrained, we formulate our problem as a Markov decision process considering the energy level of the battery of each IoT device. We also use model-free Q-learning for time-critical tasks to maximize the system utility. According to our performance study, the proposed scheme can achieve desirable convergence properties and make intelligent offloading decisions.

Design and Implementation of Smart Sharing Parking System using IoT (IoT 기반의 Smart 공유 주차장 시스템 설계 및 구현)

  • Park, Jung Kyu;An, Dong-Wook;Bae, Byeong-Chae
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2020.07a
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    • pp.263-264
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    • 2020
  • 현재 국내 자동차의 증가에 따른 주차 공간이 부족하여 주차문제가 사회문제로 커지고 있다. 본 논문에서는 주차문제 해결을 위해서 스마트 공유 주차장 시스템을 제안한다. 이 시스템은 기존 주차장에 IoT 장비를 설치하고 운영하여 주차장 활용을 최대화한다. 시스템의 빠른 개발 및 활용도를 높이기 위해서 클라우드 플랫폼을 사용하며 사용자용 스마트폰 앱을 제공할 것이다. 사용자는 앱을 통해서 근거리에 있는 주차장을 선택하여 주차 자리를 예약할 수 있다. 논문에서 실제 주차장 공간에 IoT 장비를 설치하여 실험을 진행할 예정이다. 실험을 통해서 제안하는 시스템의 가능성을 검증할 것이다.

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Analysis of Component Technology for Smart City Platform

  • Park, Chulsu;Cha, Jaesang
    • International Journal of Advanced Culture Technology
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    • v.7 no.3
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    • pp.143-148
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    • 2019
  • In order to solve the urban problems caused by the increase of the urban population, the construction of smart city applying the latest technology is being carried out all over the world. In particular, we will create a smart city platform that utilizes data generated in the city to collect and store and analyze, thereby enhancing the city's continuous competitiveness and resilience and enhancing the quality of life of citizens. However, existing smart city platforms are not enough to construct a platform for smart city as a platform for solution elements such as IoT platform, big data platform, and AI platform. To complement this, we will reanalyze the existing overseas smart city platform and IoT platform in a comprehensive manner, combine the technical elements applied to it, and apply it to the future Korean smart city platform. This paper aims to investigate the trends of smart city platforms used in domestic and foreign countries and analyze the technology applied to smart city to study smart city platforms that solve various problems of the city such as environment, energy, safety, traffic, environment.

Development of Smart City IoT Data Quality Indicators and Prioritization Focusing on Structured Sensing Data (스마트시티 IoT 품질 지표 개발 및 우선순위 도출)

  • Yang, Hyun-Mo;Han, Kyu-Bo;Lee, Jung Hoon
    • The Journal of Bigdata
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    • v.6 no.1
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    • pp.161-178
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    • 2021
  • The importance of 'Big Data' is increasing to the point that it is likened to '21st century crude oil'. For smart city IoT data, attention should be paid to quality control as the quality of data is associated with the quality of public services. However, data quality indicators presented through ISO/IEC organizations and domestic/foreign organizations are limited to the 'User' perspective. To complement these limitations, the study derives supplier-centric indicators and their priorities. After deriving 3 categories and 13 indicators of supplier-oriented smart city IoT data quality evaluation indicators, we derived the priority of indicator categories and data quality indicators through AHP analysis and investigated the feasibility of each indicator. The study can contribute to improving sensor data quality by presenting the basic requirements that data should have to individuals or companies performing the task. Furthermore, data quality control can be performed based on indicator priorities to provide improvements in quality control task efficiency.

Analysis and Design of Cattle Management System based on IoT (사물인터넷 기반 소관리 시스템의 분석 및 설계)

  • Cho, Byung-Ho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.2
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    • pp.125-130
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    • 2021
  • Implementation of livestock smart-farm can be done more effectively with IoT technology developing. An build of useful stock management system can be possibile if push messages of these judgement are notified on smart-phone after cattle's illness and estrus are judged using IoT technology. These judgement method of cattle's illness and estrus can be done with gathering living stock data using temperature sensor and 3 axis acceleration sensor and sending these data using IoT and internet network into server, and studying AI machine learning using these data. In this paper, to build this cattle management system based on IoT, effective system of the whole architecture is showed. Also an effective analysis and design method to develop this system software will be presented by showing user requirement analysis using object-oriented method, flowchart and screen design.

A Design of Lightweight Blockchain for Smart Dust IoT Environment (스마트 더스트 IoT 환경의 블록체인을 위한 물리적/논리적 네트워크 통합 설계)

  • Park, Joonsuu;Park, KeeHyun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.05a
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    • pp.78-81
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    • 2021
  • 스마트 더스트 IoT 환경은 먼지처럼 작은 크기, 대량 살포, 낮은 연산 능력을 특징으로 가지는 기기들이 서로 통신하는 IoT 시스템 중 하나이다. 이러한 스마트 더스트 IoT 환경은 상기의 특성으로 인해 데이터 위·변조와 같은 데이터 신뢰성을 위해 일반적인(순수한) 블록체인을 사용하기 어렵다. 따라서 본 연구팀은 이전 연구를 통해 스마트 더스트 IoT 환경에 적합한 경량화된 블록체인을 연구·개발했다. 하지만 이전 연구는 스마트 더스트 IoT 환경의 동적인 물리적 연결을 배제한 체 스마트 더스트 IoT 의 기기적 특성만이 고려되었다. 본 논문에서는 스마트 더스트 IoT 환경의 동적인 물리적 연결을 고려하여 스마트 더스트 IoT 환경에의 물리적 네트워크와 논리적 네트워크를 통합하는 설계를 제안한다.