• Title/Summary/Keyword: IoT Smart Home

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Secure and Efficient Mutual Authentication Scheme for Smart Home Environment (스마트 홈 환경을 위한 안전하고 효율적인 상호 인증 기법)

  • Lee, Dae-Hwi;Lee, Im-Yeong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.10a
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    • pp.855-858
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    • 2015
  • 최근 IoT에 대한 관심이 증가되면서 IoT 환경에서 다양한 서비스가 개발되고 있다. IoT를 통해 사물에 센서 혹은 액츄에이터 등 다양한 IT기술을 적용하여 사람과 사물, 공간이 통신을 하게 된다. IoT는 다양한 산업 분야에 적용되고 있으며 우리 생활과 밀접한 영역인 스마트 홈 분야에서도 시장 활성화가 진행되고 있다. 하지만 스마트 홈 환경에서는 인증되지 않은 사용자와 스마트 디바이스를 통한 해킹 및 악성코드 감염 등 다양한 보안 위협이 발생하게 된다. 이를 해결하기 위해 본 논문에서는 IoT 환경에 적합하도록 효율적이며 사용자, 스마트 홈을 연결하는 홈 게이트웨이, 스마트 홈 내의 스마트 디바이스 간 상호 인증을 제공하는 안전하고 효율적인 상호 인증 기법을 제안한다.

Development of Smart IoT Greenhouse for Home Customized Plant Growing Environment (식물 재배 환경 맞춤형 가정용 스마트 IoT 온실 개발)

  • Lee, Se-hoon;Lee, Ha-Rin;Kim, Han-Bi
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.07a
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    • pp.487-488
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    • 2022
  • 본 논문에서는 가정에서 식물 재배 환경에 따라 설정이 가능한 스마트 IoT 온실을 개발하였다. 개발한 온실은 사용자가 웹을 통하여 원하는 식물을 선정하면 자동으로 미니온실의 온도와 습도가 맞춰지도록 개발하였다. 온도와 습도, 물주기까지 사람이 직접 관리하는 것이 아닌 웹으로 원격 제어가 가능하기 때문에 높은 정확도와 편리함 속에서 식물을 좀 더 오랫동안 쉽게 기를 수 있을 것이라 기대된다.

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Open Sesame: Smart Digital Doorlock using Word Recognition basd on IoT Technologies (열려라 참깨: IoT 기반 단어인식 스마트 디지털 도어락)

  • Lee, Mi-Hee;Baek, Eun-Jung;Yu, Jin;Lee, Su-Yeon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2015.07a
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    • pp.177-178
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    • 2015
  • 본 연구에서는 사회적 문제인 맞벌이 부부가 증가함에 따라 아동범죄 및 생계형 범죄로부터 사용자의 안전의 보장과 기존의 디지털 도어락의 문제점을 보완하고자 IoT기술과 STT를 이용하여 사용자에게 안정성을 제공하여 주며, 동시에 편리성을 제공하고자 본 시스템으로 하여금 이와 같은 문제를 해결하여 줄 수 있게 한다.

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Building a Smart Farm in the House using Artificial Intelligence and IoT Technology (인공지능과 IoT 기술을 활용한 댁내 스마트팜 구축)

  • Moon, Ji-Ye;Gwon, Ga-Eun;Kim, Ha-Young;Moon, Jae-Hyun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2020.11a
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    • pp.818-821
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    • 2020
  • The artificial intelligence software market is developing in various fields world widely. In particular, there is a wide variety of applications for image recognition technology using deep learning. This study intends to apply image recognition technology to the 'Home Gardening' market growing rapidly due to COVID-19, and aims to build a small-scale smart farm in the house using artificial intelligence and IoT technology for convenient crop cultivation for busy people living in cities. This intelligent farm system includes an automatic image recognition function and recommendation function based on temperature and humidity sensor-based indoor environment analysis.

Attack Scenarios and Countermeasures using CoAP in IoT Environment (IoT기기에서 SSDP 증폭 공격을 이용한 공격기법 및 대응 방안)

  • Oh, Ju-Hye;Lee, Keun-Ho
    • Journal of the Korea Convergence Society
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    • v.7 no.4
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    • pp.33-38
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    • 2016
  • DDoS attack has been continuously utilized that caused the excessively large amount of traffic that network bandwidth or server was unable to deal with paralyzing the service. Most of the people regard NTP as the biggest cause of DDoS. However, according to recently executed DDoS attack, there have been many SSDP attack in the use of amplified technique. According to characteristics of SSDP, there is no connection for making a forgery of source IP address and amplified resources feasible. Therefore, it is frequently used for attack. Especially, as it is mostly used as a protocol for causing DDoS attack on IoT devices that constitute smart home including a wireless router, media server, webcam, smart TV, and network printer. Hereupon, it is anticipated for servers of attacks to gradually increase. This might cause a serious threat to major information of human lives, major government bodies, and company system as well as on IoT devices. This study is intended to identify DDoS attack techniques in the use of weakness of SSDP protocol occurring in IoT devices and attacking scenario and counter-measures on them.

The Factors Influencing Value Awareness of Personalized Service and Intention to Use Smart Home: An Analysis of Differences between "Generation MZ" and "Generation X and Baby Boomers" (스마트홈 개인화 서비스에 대한 가치 인식 및 사용의도에의 영향 요인: "MZ세대"와 "X세대 및 베이비붐 세대" 간 차이 분석)

  • Sang-Keul Lee;Ae Ri Lee
    • Information Systems Review
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    • v.23 no.3
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    • pp.201-223
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    • 2021
  • Smart home is an advanced Internet of Things (IoT) service that enhances the convenience of human daily life and improves the quality of life at home. Recently, with the emergence of smart home products and services to which artificial intelligence (AI) technology is applied, interest in smart home is increasing. To gain a competitive edge in the smart home market, companies are providing "personalized service" to users, which is a key service that can promote smart home use. This study investigates the factors affecting the value awareness of personalized service and intention to use smart home. This research focuses on four-dimensional motivated innovativeness (cognitive, functional, hedonic, and social innovativeness) and privacy risk awareness as key factors that influence the value awareness of personalized service of smart home. In particular, this study conducts a comparative analysis between the generation MZ (young people in late teens to 30s), who are showing socially differentiated characteristics, and the generation X and baby boomers in 40s to 50s or older. Based on the analysis results, this study derives the distinctive characteristics of generation MZ that are different from the older generation, and provides academic and practical implications for expanding the use of smart home services.

Apriori Based Big Data Processing System for Improve Sensor Data Throughput in IoT Environments (IoT 환경에서 센서 데이터 처리율 향상을 위한 Apriori 기반 빅데이터 처리 시스템)

  • Song, Jin Su;Kim, Soo Jin;Shin, Young Tae
    • KIPS Transactions on Computer and Communication Systems
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    • v.10 no.10
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    • pp.277-284
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    • 2021
  • Recently, the smart home environment is expected to be a platform that collects, integrates, and utilizes various data through convergence with wireless information and communication technology. In fact, the number of smart devices with various sensors is increasing inside smart homes. The amount of data that needs to be processed by the increased number of smart devices is also increasing, and big data processing systems are actively being introduced to handle it effectively. However, traditional big data processing systems have all requests directed to cluster drivers before they are allocated to distributed nodes, leading to reduced cluster-wide performance sharing as cluster drivers managing segmentation tasks become bottlenecks. In particular, there is a greater delay rate on smart home devices that constantly request small data processing. Thus, in this paper, we design a Apriori-based big data system for effective data processing in smart home environments where frequent requests occur at the same time. According to the performance evaluation results of the proposed system, the data processing time was reduced by up to 38.6% from at least 19.2% compared to the existing system. The reason for this result is related to the type of data being measured. Because the amount of data collected in a smart home environment is large, the use of cache servers plays a major role in data processing, and association analysis with Apriori algorithms stores highly relevant sensor data in the cache.

Authentication and Key Management Techniques for Secure Communication in IP Camera (IoT 환경에서 IP카메라의 효율적 운용을 위한 키 관리 및 보안 설계 프로토콜)

  • Min, So-Yeon;Lee, Jae-Seung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.10
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    • pp.602-608
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    • 2020
  • Development of Internet technology and the spread of various smart devices provide a convenient computing environment for people, which is becoming common thanks to the Internet of Things (IoT). However, attacks by hackers have caused various problems, such as leaking personal information or violating privacy. In the IoT environment, various smart devices are connected, and network attacks that are used in the PC environment are occurring frequently in the IoT. In fact, security incidents such as conducting DDoS attacks by hacking IP cameras, leaking personal information, and monitoring unspecified numbers of personal files without consent are occurring. Although attacks in the existing Internet environment are PC-oriented, we can now confirm that smart devices such as IP cameras and tablets can be targets of network attacks. Through performance evaluation, the proposed protocol shows 11% more energy efficiency on servers than RSA, eight times greater energy efficiency on clients than Kerberos, and increased efficiency as the number of devices increases. In addition, it is possible to respond to a variety of security threats that might occur against the network. It is expected that efficient operations will be possible if the proposed protocol is applied to the IoT environment.

Development of augmented reality based IoT control platform using marker (마커를 이용한 증강현실 기반 사물인터넷 제어 플랫폼 개발)

  • Shin, Kwang-Seong;Youm, Sungkwan;Park, YoungJoon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.8
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    • pp.1053-1059
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    • 2021
  • In order to realize a smart home, a new type of service that converges the two technologies is required as a method to overcome the respective limitations of augmented reality and IoT technologies. Augmented reality recognizes objects and projects augmented content with the recognized objects on the screen. This technology mainly uses image processing methods such as markers as a method for recognizing objects. In this paper, an augmented reality-based IoT control platform using markers was developed. By defining a marker unique to the object, a unique identifier displayed on the camera was distinguished. A smart home system was implemented by calling a controller to control things. The proposed system receives state information of objects through symptom reality and transmits control commands. The proposed platform was verified by manipulating household lights.

ZigBee Authentication Protocol with Enhanced User Convenience and Safety (사용자 편의성 및 안전성이 강화된 ZigBee 인증 프로토콜)

  • Ho-jei Yu;Chan-hee Kim;Sung-sik Im;Soo-hyun Oh
    • Convergence Security Journal
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    • v.22 no.1
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    • pp.81-92
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    • 2022
  • The rapidly growing IoT market is expanding not only in general households but also in smart homes and smart cities. Among the major protocols used in IoT, ZigBee accounts for more than 90% of the smart home's door lock market and is mainly used in miniaturized sensor devices, so the safety of the protocol is very important. However, the device using Zig Bee is not satisfied with the omnidirectional safety because it uses a fixed key during the authentication process that connects to the network, and it has not been resolved in the recently developed ZigBee 3.0. This paper proposes a design method that provides omnidirectional safety to the ZigBee authentication protocol and can be quickly applied to existing protocols. The proposed improved ZigBee authentication protocol analyzed and applied the recently developed OWE protocol to apply ECDH, which has low computational volume and provides omnidirectional safety in IoT. Based on this, it provides the safety of the ZigBee authentication protocol, and it is expected that it will be able to provide user convenience as it does not require a separate certificate or password input.