• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.7
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• pp.1986-2009
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• 2024

The integration of blockchain technology with the rapid growth of Internet of Things (IoT) devices has enabled secure and decentralised data exchange. However, security vulnerabilities and performance limitations remain significant challenges in IoT blockchain networks. This work proposes a novel approach that combines transaction representation and machine learning techniques to address these challenges. Various clustering techniques, including k-means, DBSCAN, Gaussian Mixture Models (GMM), and Hierarchical clustering, were employed to effectively group unlabelled transaction data based on their intrinsic characteristics. Anomaly transaction prediction models based on classifiers were then developed using the labelled data. Performance metrics such as accuracy, precision, recall, and F1-measure were used to identify the minority class representing specious transactions or security threats. The classifiers were also evaluated on their performance using balanced and unbalanced data. Compared to unbalanced data, balanced data resulted in an overall average improvement of approximately 15.85% in accuracy, 88.76% in precision, 60% in recall, and 74.36% in F1-score. This demonstrates the effectiveness of each classifier as a robust classifier with consistently better predictive performance across various evaluation metrics. Moreover, the k-means and GMM clustering techniques outperformed other techniques in identifying security threats, underscoring the importance of appropriate feature selection and clustering methods. The findings have practical implications for reinforcing security and efficiency in real-world IoT blockchain networks, paving the way for future investigations and advancements.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.12
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• pp.5744-5764
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• 2018

In Wireless Sensor Networks (WSNs) for Internet of Things (IoT) environment, fault tolerance is a most fundamental issue due to strict energy constraint of sensor node. In this paper, a robust energy saving data dissemination protocol for IoT-WSNs is proposed. Minimized energy consumption and dissemination delay time based on signal strength play an important role in our scheme. The representative dissemination protocol SPIN (Sensor Protocols for Information via Negotiation) overcomes overlapped data problem of the classical Flooding scheme. However, SPIN never considers distance between nodes, thus the issue of dissemination energy consumption is becoming more important problem. In order to minimize the energy consumption, the shortest path between sensors should be considered to disseminate the data through the entire IoT-WSNs. SPMS (Shortest Path Mined SPIN) scheme creates routing tables using Bellman Ford method and forwards data through a multi-hop manner to optimize power consumption and delay time. Due to these properties, it is very hard to avoid heavy traffic when routing information is updated. Additionally, a node failure of SPMS would be caused by frequently using some sensors on the shortest path, thus network lifetime might be shortened quickly. In contrast, our scheme is resilient to these failures because it employs energy aware concept. The dissemination delay time of the proposed protocol without a routing table is similar to that of shortest path-based SPMS. In addition, our protocol does not require routing table, which needs a lot of control packets, thus it prevents excessive control message generation. Finally, the proposed scheme outperforms previous schemes in terms of data transmission success ratio, therefore our protocol could be appropriate for IoT-WSNs environment.

• Journal of Internet Computing and Services
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• v.16 no.5
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• pp.93-98
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• 2015

IoT (Internet of Things) is recently burgeoning as business applications as well as ICT itself. Among the business applications of IoT, wearable devices are recognized as a leading area of customer devices. This research first identifies customer needs of activity trackers (fitness trackers), as one of representative wearable devices, and mapping the identified needs with the well-known marketing model of marketing mix (4 P's: Product, Price, Promotion, and Place). Survey was applied to university students for identifying current and potential needs for activity trackers. The needs were classified by 4 P's, and according to the results, different from other IT devices, activity trackers has more potential needs. Moreover, reliable distribution channels, offline and company owned shops were preferred, rather than online shopping mall by third parties. The results would provide some valuable implications to not only designers of activity trackers but also business management.

• Journal of Internet of Things and Convergence
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• v.8 no.2
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• pp.61-70
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• 2022

Connectivity and knowledge are the main keywords of the IoT. In this paper, I analyzed how the two civilizations, Christianity and Islam, were connected through Mughal paintings and what result they have brought in the spread of knowledge. For that, I analyzed literature as well as paintings of those days. In terms of theme matter, Western painting was used as a means of strengthening the royal authority of the Mughal Emperor. In terms of style, perspective and shading from the Western Paintings began to be used in Mughal painting. Later, Christian symbols and themes were linked to absolute power of kingship, and further utilized them to develop into the concept of kingship = spirituality = divinity, creating an original art style that was unprecedented in the history of world painting. By analyzing the two disparate cultures in terms of 'connectivity' and 'knowledge' of the Internet of Things, such research could serve as a platform for future humanities research on the Internet of Things.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.6
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• pp.678-683
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• 2018

This study deals with the analysis of a technology convergence of the IoT(Internet of Things) which is the key technology of the fourth industrial revolution. For this purpose, 77 patents with the Main Category CPC code G06Q50/10(Electronic Commerce Service) among the IoT patents filed after 2014 were analyzed. As a result of the Main-Sub Category analysis of CPC codes, the IoT has a strong relationship between "Electronic Commerce Service (G06Q50/10)" and G06Q(49 cases), H04L(40 cases), G08B(24 cases), G05B(21 cases), H04W(21 cases), H04N(16 cases), and so on. By using the methodology in this study, we can contribute the establishment of technology strategy and new value creation from the prediction of the possibility of the combination of technologies and to develop new patents among various new technologies.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.551-554
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• 2017

The largest industry in the world is the medical industry, and due to aging and growing demand for well-being, it is necessary to review the competition strategy of the healthcare industry. We will secure competitiveness among medical institutions through the rapid dissemination of ICT convergence, study the intelligence level of digital health care by increasing the capacity of intelligent medical care by combining big data of medical data and artificial intelligence, And to find a countermeasure for constructing a medical optimization model.

• Review of KIISC
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• v.27 no.1
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• pp.25-30
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• 2017

최근, Internet of Everything (IoE)는 Internet of Things (IoT)의 영역을 급속히 확장하며 그 범위를 넓혀가고 있다. IoT가 여러 가지 다양한 센서들을 인터넷에 연결하는 기술이라면 IoE는 우리주변의 모든 기기들 (예를 들면 가전제품이나 보안 시스템)을 IoE와 아울러서 통합된 망을 구축함으로써 여러 가지 상승효과를 모색하는 정보산업의 새로운 흐름이라 할 수 있겠다. 하지만, IoE의 많은 장점에도 불구하고, 새롭게 개발되고 있는 기술이라는 특성상, 아직도 보완해야 될 점이 많은 것이 사실이다. 특히, IoE 환경의 경우, 가정이나 사무공간에서 연결되고 있는 기기나 장비들이 개인용품이 많다는 특성상 정보 보안에 문제가 생길 때 개인정보 유출의 우려가 클 수밖에 없는 것이 사실이다. 하지만, 많은 IoE 서비스 이용자들이 이런 보안상의 문제점들에 대해서 인지하지 못하고 있는 것이 현실이다. 따라서 본 논문에서는 보안경고 디스플레이 기술을 활용하여 일반인들에게 개인정보 유출에 대한 경각심을 일으키고 구체적인 대응방안을 모색해 볼 수 있도록 유도하는 디자인 기법들의 가능성들을 모색해 보고자 한다.

• Journal of Information Processing Systems
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• v.14 no.6
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• pp.1361-1384
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• 2018

Recently, Cyber Physical System (CPS) is one of the core technologies for realizing Internet of Things (IoT). The CPS is a new paradigm that seeks to converge the physical and cyber worlds in which we live. However, the CPS suffers from certain CPS issues that could directly threaten our lives, while the CPS environment, including its various layers, is related to on-the-spot threats, making it necessary to study CPS security. Therefore, a survey-based in-depth understanding of the vulnerabilities, threats, and attacks is required of CPS security and privacy for IoT. In this paper, we analyze security issues, threats, and solutions for IoT-CPS, and evaluate the existing researches. The CPS raises a number challenges through current security markets and security issues. The study also addresses the CPS vulnerabilities and attacks and derives challenges. Finally, we recommend solutions for each system of CPS security threats, and discuss ways of resolving potential future issues.

• Journal of Information Processing Systems
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• v.16 no.6
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• pp.1238-1249
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• 2020

Throughout the world, aging populations and doctor shortages have helped drive the increasing demand for smart healthcare systems. Recently, these systems have benefited from the evolution of the Internet of Things (IoT), big data, and machine learning. However, these advances result in the generation of large amounts of data, making healthcare data analysis a major issue. These data have a number of complex properties such as high-dimensionality, irregularity, and sparsity, which makes efficient processing difficult to implement. These challenges are met by big data analytics. In this paper, we propose an innovative analytic framework for big healthcare data that are collected either from IoT wearable devices or from archived patient medical images. The proposed method would efficiently address the data heterogeneity problem using middleware between heterogeneous data sources and MapReduce Hadoop clusters. Furthermore, the proposed framework enables the use of both fog computing and cloud platforms to handle the problems faced through online and offline data processing, data storage, and data classification. Additionally, it guarantees robust and secure knowledge of patient medical data.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.67 no.2
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• pp.90-93
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• 2018

This paper is a system that visually informs the hearing impaired to visit other people by blinking the light of a room using the IoT(Internet of Things) technology. The system combines the power of home-use lights with low-power IoT devices to provide visual notifications. Using a current sensor, this system can track user location and then turns on and off the light in that room only to save energy. The proposed idea can create a society that is equal to everyone and can live more conveniently.