• Title/Summary/Keyword: IoT (internet of things)

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An analysis on invasion threat and a study on countermeasures for Smart Car (스마트카 정보보안 침해위협 분석 및 대응방안 연구)

  • Lee, Myong-Yeal;Park, Jae-Pyo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.3
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    • pp.374-380
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    • 2017
  • The Internet of Things (IoT) refers to intelligent technologies and services that connect all things to the internet so they can interactively communicate with people, other things, and other systems. The development of the IoT environment accompanies advances in network protocols applicable to more lightweight and intelligent sensors, and lightweight and diverse environments. The development of those elemental technologies is promoting the rapid progress in smart car environments that provide safety features and user convenience. These developments in smart car services will bring a positive effect, but can also lead to a catastrophe for a person's life if security issues with the services are not resolved. Although smart cars have various features with different types of communications functions to control the vehicles under the existing platforms, insecure features and functions may bring various security threats, such as bypassing authentication, malfunctions through illegitimate control of the vehicle via data forgery, and leaking of private information. In this paper, we look at types of smart car services in the IoT, deriving the security threats from smart car services based on various scenarios, suggesting countermeasures against them, and we finally propose a safe smart car application plan.

A Survey on Role of Block Chain in Smart Cities

  • Chokkanathan, K;Shanmugaraja, P;Ramasamy, Siva Shankar;Ouncharoen, Rujira;Chakpitak, Nopasit
    • International Journal of Computer Science & Network Security
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    • v.21 no.7
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    • pp.1-7
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    • 2021
  • An amazing growth in the field of Internet of Things (IoT) and Blockchain based smart cities from both industry and academia has been witnessed in the recent years. There are many smart applications such as intelligent transportation, smart banking, improving the life style of citizen, energy consumption and managing the waste in the city, handling home needs are supporting the Smart city concept. These applications are profoundly supported by the advanced technologies like Blockchain as well as IoT in the recent past. Smart cities can be supported by the Blockchain core concepts such as secure, transparent, decentralized and immutable nature. Still, Blockchain and IoT technologies implementation in smart cities are in their early stages and significant research efforts are desirable to integrate them. This review article explores the roles and responsibilities of Blockchain and IoT in building smart cities.

WiFi-Based Home IoT Communication System

  • Chen, Wenhui;Jeong, Sangho;Jung, Hoekyung
    • Journal of information and communication convergence engineering
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    • v.18 no.1
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    • pp.8-15
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    • 2020
  • Internet-of-Things (IoT) technologies are used everywhere, and communication is one of its core and essential aspect. To solve the networking and communication of small IoT terminals, in this paper, a communication scheme based on low-cost WiFi is proposed, which also has the advantages of good compatibility and low power consumption. At the same time, it has a convenient one-key configuration mode, which reduces the technical requirements for operators. In this study, a communication protocol is designed that mainly aims at up to dozens of domestic IoT terminals, in which the amount of data is not large, data exchange is not high, and network is unstable. According to the alarm data, update data, and equipment or network fault, the protocol can respectively transmit in real time, regularly and repeatedly. This protocol is open and easy to integrate, and after cooperating with tiny encryption algorithm, information can be safely transmitted.

IoT Adoption by the Young Consumer: An Extended ASE Perspective

  • Arif Mahmud;Mohd Najwadi Yusoff;Mohd Heikal Husin
    • Asia pacific journal of information systems
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    • v.32 no.4
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    • pp.857-889
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    • 2022
  • Home theft and burglary are prevalent in Dhaka city. Internet of things (IoT), in contrast, is commonly recognized as among the most advanced home security systems. However, the factors that attract young people to use IoT for household security have yet to be examined. Consequently, the purpose of this article is to validate the attitude-social influence-self-efficacy (ASE) model with personal innovativeness and perceived trust. We collected data from Dhaka citizens aged 15 to 24 using a purposive sample technique and 370 valid responses were chosen for the study. According to the analysis, all of our proposed hypotheses were found significant with a 73.6% variance. Furthermore, the effects of attitude and social influence were shown to be the highest and lowest, respectively, and trust and innovativeness were both nearly strong main predictors of ASE. Significantly, since this is one of the few studies in the technology adoption domain using this model, a solid foundation for IoT adoption for security purposes is established.

RF Spectrum Cognition Technologies for IoT Wireless Sensors (IoT 무선 센서를 위한 RF 스펙트럼 인지 기술)

  • Yoon, Won-Sang;Han, Sang-Min
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.1
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    • pp.122-127
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    • 2016
  • In this paper, new spectrum sensing schemes based on analog/RF front-end processing are introduced for IoT wireless sensor networks. While the conventional approaches for wireless channel cognition have been issued in signal processing area, the RF spectrum cognition concept makes it feasible to achieve cognitive wireless sensor networks (C-WSNs). The spectrum cognition at RF processing is categorized as four kinds of sensing mechanisms. Two recent reseaches are described as promising candidates for the C-WSN. One senses spectrum by the frequency discriminating receiver, the other senses and detects from the frequency selective super-regenerative receiver. The introduced systems with simple and low-power RF architectures play dual roles of channel sensing and demodulation. simultaneously. Therefore, introduced spectrum sensing receivers can be one of the best candidates for IoT wireless sensor devices in C-WSN environments.

The Implementation of sensor network and CMS server in R.Box (R.Box에서의 센서 네트워크와 CMS 서버 구현)

  • Kim, JinGyeong;Ra, SangYong;Choi, JaeHong;Lee, JunDong
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2018.01a
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    • pp.77-78
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    • 2018
  • 인터넷과 사물의 결합이 급속도로 진행되며 IoT(Internet of Things, 사물인터넷)의 활성화 역시 앞당겨지고 있다. 최근 IoT 기술 및 서비스와 관련하여 가정, 공장 등의 다양한 장소와 공기청정기, 체온계 등의 제품에도 IoT 기술이 접목된 서비스가 제공되고 있다. 본 논문에서는 일반목적의 IoT 허브인 R.Box의 센서 네트워크와 R.Box와 센서를 통제, 제어하며 데이터 저장과 간단한 통계를 확인할 수 있는 CMS(Content Management System) 기능을 하는 서버 구현에 대해 설명한다. R.Box는 라즈베리 파이를 이용해 제작되었으며 사용자는 서버에 접속해 R.Box와 센서의 정보, 측정된 값을 확인하고 수정, 삭제, 검색 등의 기능을 사용할 수 있다.

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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.

IoT Based Disaster Mitigation and Safety Monitoring Technologies (IoT 기반 재난예방 및 안전 모니터링 기술)

  • Myeong, S.I.;Lee, H.;Lee, H.J.;Lee, K.B.
    • Electronics and Telecommunications Trends
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    • v.33 no.1
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    • pp.101-110
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    • 2018
  • Based on the main technologies of the 4th Industrial Revolution, industries including the smart home, transportation, agriculture, factory, energy, and medical care industries are rapidly developing. Disaster management technologies and services based on state-of-the-art convergence technologies are being widely applied for the purposes of public safety. State-of-the-art scientific technologies including the Internet of Things (IoT) are expected to offer alternative solutions to pending issues of disaster and safety. Particularly in disaster management, a "prevention activity"to avoid and control disasters in advance is essential, and thus disaster prevention and safety monitoring technologies based on hyper-connected intelligence are fundamental for society during the 4th Industrial Revolution. IoT technologies are being actively applied and utilized in various fields to prevent social and natural disasters. In this article, we introduce the development trends of disaster prevention and safety monitoring technologies based on IoT technologies.

Law and Regulatory Trends on Information Security of IoT (IoT 정보보호 법·규제 동향)

  • Kim, Pang-ryong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.781-782
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    • 2015
  • As growth engines such as cloud, social networks, big data that can affect the security market have been grown, the information security industry has has also rapidly evolved. Reviewing information security policies carried out in USA, UK and Japan, this paper examines trends on the IoT-related information protection law and regulations that are at issue around the major developed countries. Through this research, we can get the implication that measures be taken as soon as possible to apply the existing data protection laws in the Internet of Things.

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EM Algorithm based Clustering Method for Internet of Things (IoT) Service (EM 알고리즘을 이용한 사물 인터넷 서비스 클러스터링 기법)

  • Jang, June-Beom;Jo, Jeong-Hoon;Lee, Daewon
    • Annual Conference of KIPS
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    • 2017.11a
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    • pp.1315-1317
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    • 2017
  • 다양한 IoT(사물인터넷) 서비스가 등장하고 수요가 많아짐에 따라 이를 통합적으로 관리하고 제어하는 통합 서비스 플랫폼에 관한 여구가 활발하게 진행되고 있다. 하지만 서비스의 표준 부재로 인하여 IoT 서비스 모듈의 재활용 및 이식은 불가능한 상황이다. 이러한 문제를 해결하기 위하여 본 연구에서는 IoT 서비스의 각 동작 단계에 EM 알고리즘을 적용하여 [1]의 동작기반 분류 기법을 확장한다. 제안한 EM 기반 IoT 서비스 분류 알고리즘은 서비스 유사도를 기반하여 분류 함으로 모듈의 재활용성을 높이고 서비스 간의 협업에 있어서 효율성 증대를 기대할 수 있다. 성능 평가를 통하여 평균에 대한 표준편차로 클러스터링되는 것을 확인 할 수 있다.