• Title/Summary/Keyword: IoT based Management

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Privacy Inferences and Performance Analysis of Open Source IPS/IDS to Secure IoT-Based WBAN

  • Amjad, Ali;Maruf, Pasha;Rabbiah, Zaheer;Faiz, Jillani;Urooj, Pasha
    • International Journal of Computer Science & Network Security
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    • v.22 no.12
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    • pp.1-12
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    • 2022
  • Besides unexpected growth perceived by IoT's, the variety and volume of threats have increased tremendously, making it a necessity to introduce intrusion detections systems for prevention and detection of such threats. But Intrusion Detection and Prevention System (IDPS) inside the IoT network yet introduces some unique challenges due to their unique characteristics, such as privacy inference, performance, and detection rate and their frequency in the dynamic networks. Our research is focused on the privacy inferences of existing intrusion prevention and detection system approaches. We also tackle the problem of providing unified a solution to implement the open-source IDPS in the IoT architecture for assessing the performance of IDS by calculating; usage consumption and detection rate. The proposed scheme is considered to help implement the human health monitoring system in IoT networks

Blockchain-based lightweight consensus algorithm (L-PBFT) for building trust networks in IoT environment (IoT 환경에서 신뢰 네트워크 구축을 위한 블록체인 기반의 경량 합의 알고리즘(L-PBFT))

  • Park, Jung-Oh
    • Journal of Industrial Convergence
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    • v.20 no.6
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    • pp.37-45
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    • 2022
  • With the development of the Internet of Things (IoT), related network infrastructures require new technologies to protect against threats such as external hacking. This study proposes an L-PBFT consensus algorithm that can protect IoT networks based on a blockchain consensus algorithm. We designed a blockchain (private) model suitable for small networks, tested processing performance for ultra-small/low-power IoT devices, and verified stability. As a result of performance analysis, L-PBFT proved that at least the number of nodes complies with the operation of the consensus algorithm(minimum 14%, maximum 29%) and establishes a trust network(separation of secure channels) different from existing security protocols. This study is a 4th industry convergence research and will be a foundation technology that will help develop IoT device security products in the future.

Development of efficient smart library resource management system based on IoT (IoT 기반의 효율적인 스마트도서관 자원 관리 시스템 개발)

  • Lee, Joohwa;Lee, Myungsuk
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.15 no.2
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    • pp.1-9
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    • 2019
  • In this study, we constructed a system to operating and manage the resources of the Smart Library Reading Room automatically using the Internet of things. The persistent problem of smart library or unattended library is electric energy waste and efficient seat management. The electricity and seat layout management method of the existing library reading room is being treated as concentrated management in the central system. However, this approach results in wasting electricity and seats do not provide a fair opportunity for each user. In this study, IoT sensor was used to turn off electricity and empty seat for about 20 minutes, so that it could be marked as vacant and managed efficiently, so that opportunities for seats were evenly maintained. In the future, we will improve this and construct a model in the reading room of actual village library or school library, and analyze and reflect the result.

Resource Management Strategies in Fog Computing Environment -A Comprehensive Review

  • Alsadie, Deafallah
    • International Journal of Computer Science & Network Security
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    • v.22 no.4
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    • pp.310-328
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    • 2022
  • Internet of things (IoT) has emerged as the most popular technique that facilitates enhancing humans' quality of life. However, most time sensitive IoT applications require quick response time. So, processing these IoT applications in cloud servers may not be effective. Therefore, fog computing has emerged as a promising solution that addresses the problem of managing large data bandwidth requirements of devices and quick response time. This technology has resulted in processing a large amount of data near the data source compared to the cloud. However, efficient management of computing resources involving balancing workload, allocating resources, provisioning resources, and scheduling tasks is one primary consideration for effective computing-based solutions, specifically for time-sensitive applications. This paper provides a comprehensive review of the source management strategies considering resource limitations, heterogeneity, unpredicted traffic in the fog computing environment. It presents recent developments in the resource management field of the fog computing environment. It also presents significant management issues such as resource allocation, resource provisioning, resource scheduling, task offloading, etc. Related studies are compared indifferent mentions to provide promising directions of future research by fellow researchers in the field.

Feasibility Test with IoT-based DCPT system for Digital Compaction Information of Smart Construction (스마트건설 디지털 다짐정보 구축을 위한 IoT 기반 DCPT 시스템 현장실증)

  • Kim, Donghan;Bae, Kyoung Ho;Cho, Jinwoo
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.40 no.5
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    • pp.421-428
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    • 2022
  • The earthwork is a core process of all constructions, and compaction measurement of earthwork play an important role in improving productivity. The analog tests such as Plate Bearing Test and Sand-cone occupy current compaction measurement techniques. Due to advanced 4th Industrial Revolution, research on analog tests combined smart construction technology are actively conducted. DCPT (Dynamic Cone penetration Test), simpler and faster than conventional tests, has recently on rise. However, it is also an analog that measures data manually and has several disadvantages such as history management and data verification. The IoT-based DCPT system developed in this study combines digital wire sensors, mobile phones, and Bluetooth with conventional DCPT. Compare to conventional test methods, IoT-based DCPT has advantages such as performance time, single-person measurement, low cost, mobile-based management, and real-time data verification. In addition, a test bed was built to verify IoT-based DCPT. The test bed was built under similar conditions to the actual earthworks site through roller equipment. DCPT data obtained from 322 stations. As a result, IoT-based DCPT showed good performance, and the test bed was also showed stable results as the compaction was carried out.

A Novel on Optimal Growth Management System of Corp using Recirculation of Nutrient Solution based on IoT and Location Tracking Technology (IoT 및 위치 추적 기술 기반의 양액 순환 방식을 활용한 작물의 최적 생장 관리 시스템에 관한 연구)

  • Jung, Se Hoon;Park, Sung Kyun;Sim, Chun Bo
    • Journal of Korea Multimedia Society
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    • v.19 no.11
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    • pp.1891-1899
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    • 2016
  • Recently food problem and crop disaster have been increased continuously because of the meteorological changes. These cause rising cost for crops continuously and irregularly. Some researchers have studied straight structure of device for hydroponics and plant factory previously to solve a fundamental part of these problems. However, there are several problems such as limited crop cultivation space, providing irregular nutrients for crops, and lack of monitoring interfaces. For them, we propose an optimal growth and development crops management system using light source tracking and recirculation of nutrient solution method to supply nutrient continuously based on IoT. In order to evaluate the performance of our system, we compared and analyzed in terms of two viewpoints, the tracking analysis for natural light source measurement and the growth of crops through artificial light, LED, respectively. We confirmed that the higher the duty ratio of LED, the larger the crop's size, particularly. As well as, for about 1 month, we compared with the existing natural light growing environment and that of our system. It was confirmed that the size of the crops grown through our system is about three times larger than that of natural light natural crops.

Architecture Model of IOT Based Smart Animal Farms in Pakistan (파키스탄에서 IOT에 기반한 스마트 동물 농장의 아키텍처 모델)

  • Mateen, Ahamed;Zhu, Qingsheng;Afsar, Salman;Nazeer, Farah
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.6
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    • pp.43-52
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    • 2018
  • Livestock production is the second largest economic activity of Pakistan's rural population, more specifically; sixty-seven percent of Pakistan's total population that live in rural areas sources their income from livestock activities. As this subsector of agriculture within rural Pakistan is so critical to Pakistan's economy it is especially important to further develop the sector through the introduction of cost effective, efficient, and practical technologies. In an effort to improve such an important sector within the agriculture sector in Pakistan research has been carried out to better understand the capabilities and feasibility of leveraging Internet of Things based technologies, such as, microprocessors and microcontrollers within Pakistan's livestock production and management. The internet of Things can potentially allow for the scaling of small-scale rural livestock production to larger operations through cost effective and efficient livestock management through the application of IoT technologies. This paper discusses the architecture models of IoT based smart animal farms and delves into the pitfalls and advantages of applying IoT technologies in this sector. In this work we will explore the cheap sensors to monitor the internal activities of cattle farm with the aim of using these sensors as part of system to detect the important operations that need on the time response. This system should provide the feed and water as required, and control the temperature in sheds to protect the cattle being ill and on heat, and humidity level .internet connection used to connect these devices with smartphones or computers. In this paper we proposed the architecture model of IoT based smart animal farm.

The Proposal of IoT products tracking and inventory management system using IPv6 based on static IP (고정IP 기반의 IPv6를 이용한 사물인터넷 제품 추적 및 재고관리 시스템 제언)

  • Lee, Jeong-Min;Ahn, Jong-Chang;Lee, Ook
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.25 no.2
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    • pp.423-437
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    • 2015
  • The IPv6 which solved the exhaustion problem of IPv4's IP address is going to be used for many kinds of industries. As a result, there are some products which can be connected to other connectable things, it called Internet of Things (IoT). With growing new propagated products including networking, each product can get an IP address of IPv6, which means it is possible that things also have their own IP addresses. Thus, IP address management system is more important and needs tracking and collecting system for unused products with IP addresses. This study suggests new distribution tracking and inventory management system for IoT products, which offers a current location of things and manages stocks in the warehouse with the static IP address and the location-based service.

Multi-blockchain model ensures scalability and reliability based on intelligent Internet of Things (지능형 사물인터넷 기반의 확장성과 신뢰성을 보장하는 다중 블록체인 모델)

  • Jeong, Yoon-Su;Kim, Yong-Tae
    • Journal of Convergence for Information Technology
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    • v.11 no.3
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    • pp.140-146
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    • 2021
  • As the environment using intelligent IoT devices increases, various studies are underway to ensure the integrity of information sent and received from intelligent IoT devices. However, all IoT information generated in heterogeneous environments is not fully provided with reliable protocols and services. In this paper, we propose an intelligent-based multi-blockchain model that can extract only critical information among various information processed by intelligent IoT devices. In the proposed model, blockchain is used to ensure the integrity of IoT information sent and received from IoT devices. The proposed model uses the correlation index of the collected information to trust a large number of IoT information to extract only the information with a high correlation index and bind it with blockchain. This is because the collected information can be extended to the n-tier structure as well as guaranteed reliability. Furthermore, since the proposed model can give weight information to the collection information based on blockchain, similar information can be selected (or bound) according to priority. The proposed model is able to extend the collection information to the n-layer structure while maintaining the data processing cost processed in real time regardless of the number of IoT devices.

A Study on the Construction of IoT based System for District Heating Customer-side Energy Efficiency Management (지역난방 수용가측 효율관리를 위한 IoT 기반 시스템 구축에 관한 연구)

  • Yun, Jungmee;Lee, Sanghak;Ahn, Changkoo;Eom, Jaesik
    • Journal of Energy Engineering
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    • v.26 no.3
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    • pp.113-122
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    • 2017
  • The district heating system, which is the main axis of Korea's collective energy business, contributes to the national benefit and safety with the economical heat energy supply system.However, due to the uncertainty of management subjects and the shortage of professional technical personnel, there are many problems such as deterioration of thermal efficiency and unfairness of the price of the apartment houses. In this paper, we propose the monitoring points necessary for the efficiency and fault management of the district heating customer-side. And we propose a standard reference model to standardize it. We propose a technical methodology to improve the service quality and energy efficiency of the district heating facilities by applying IoT sensor technology, real-time monitoring and integrated management system.