• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권9호
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• pp.3151-3168
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• 2021

Internet of Things (IoT) connects several objects with embedded sensors and they are capable of exchanging information between devices to create a smart environment. IoT smart devices have limited resources, such as batteries, computing power, and bandwidth, but comprehensive sensing causes severe energy restrictions, lowering data quality. The main objective of the proposal is to build a hybrid protocol which provides high data quality and reduced energy consumption in IoT sensor network. The hybrid protocol gives a flexible and complete solution for sensor selection problem. It selects a subset of active sensor nodes in the network which will increase the data quality and optimize the energy consumption. Since the unused sensor nodes switch off during the sensing phase, the energy consumption is greatly reduced. The hybrid protocol uses Dijkstra's algorithm for determining the shortest path for sensing data and Ant colony inspired variable path selection algorithm for selecting active nodes in the network. The missing data due to inactive sensor nodes is reconstructed using enhanced belief propagation algorithm. The proposed hybrid method is evaluated using real sensor data and the demonstrated results show significant improvement in energy consumption, data utility and data reconstruction rate compared to other existing methods.

• 디지털산업정보학회논문지
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• 제17권3호
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• pp.17-26
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• 2021

Internet of Things is an infrastructure of the interconnected devices. In Internet of Things environment, many smart devices are used in daily life. It requires a new retrieval method using multiple devices. We propose an information retrieval method using both device characteristics and device usage characteristics in multi-device environments. Firstly, information retrieval is performed using a general purpose device. And then, it is performed using dedicated devices. Our method uses both characteristics of the devices and usage characteristics of them. Moreover, it considers queries on the general purpose device. This paper proposes a new retrieval method and describes algorithms. Then, it presents smart home scenarios. Performance evaluation is performed using the scenarios. The evaluation results show higher precision and efficiency than previous researches. The proposed method gets information more accurately and quickly in IOT multiple device environments.

• Journal of Information Processing Systems
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• 제14권6호
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• pp.1431-1437
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• 2018

Securing objects in the Internet of Things (IoT) is essential. Authentication model is one candidate to secure an object, but it is only limited to handle a specific type of attack such as Sybil attack. The authentication model cannot handle other types of attack such as trust-based attacks. This paper proposed two-phase security protection for objects in IoT. The proposed method combined authentication and statistical models. The results showed that the proposed method could handle other attacks in addition to Sybil attacks, such as bad-mouthing attack, good-mouthing attack, and ballot stuffing attack.

• Asia pacific journal of information systems
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• 제29권3호
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• pp.407-413
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• 2019

This editorial on 'Smart Services and Internet of Things (IoT)' focuses on the topics related to the applications of IoT to consumer products and services, which have become 'smarter' thanks to IoT. This special issue explores, in different ways, the phenomena of smart services and the role of IoT in business innovation across different contexts such as product-service system, car auction, tourism industry, communicating platform, online travel agency, self-service retail, and bike sharing. We hope that this special issue will provide a significant step forward in enabling researchers and practitioners to understand smart services and IoT.

• 한국정보통신학회논문지
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• 제20권6호
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• pp.1069-1073
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• 2016

사물인터넷 (Internet of Things: IoT)은 기존의 유선통신을 기반으로 한 인터넷이나 모바일 인터넷보다 진화된 단계로 인터넷에 연결된 기기가 사람의 개입 없이 상호간에 알아서 정보를 주고받아 처리한다. 이를 구현하기 위한 기술 요소로는 유형의 사물과 주위 환경으로부터 정보를 얻는 센싱 기술, 사물이 인터넷에 연결되도록 지원하는 유무선 통신 및 네트워크 인프라 기술, 각종 서비스 분야와 형태에 적합하게 정보를 가공하고 처리하거나 기술을 융합하는 서비스 인터페이스 기술이 핵심이며 이러한 기술을 실현하는데 있어 시각 정보 및 시각 동기 기술은 필수적이라 할 수 있다. 본 논문에서는 컴퓨터 시스템과 기존 인터넷에서 시각 유지 기법을 분석하고 사물인터넷에서 시각 정보 관리에 필요한 요소 기술과 시각 관리 체계를 제시한다.

• 한국인터넷방송통신학회논문지
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• 제17권4호
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• pp.43-48
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• 2017

현대 사회는 정보통신기술(ICT)의 발달로 제4차 산업혁명이 가져오는 지능정보사회에 다가가고 있다. 우리 주변의 사람과 사물, 사물과 사물 등은 사물인터넷 기술의 발달로 공간에 제약을 받지 않고 네트워크로 연결되어 빅데이터가 산출되고 서로 정보를 송 수신 할 수 있게 되었다. 그러나 단말기 분실 및 물리적 파괴, 무선신호 교란 정보유출, 데이터 위 변조, 서비스 거부 등 기존의 통신환경에서 생성되는 위협들은 정보보안의 3대 요소인 기밀성, 무결성, 가용성을 침해하여 사물인터넷의 보안을 위협할 수 있다. 이런 위협에 대비하여 사물인터넷에 대한 보안과 정보유출 등의 정보보호 기술을 강화해야 한다. 본 논문에서는 사물인터넷의 구성과 활용 분야를 알아보고 각기 다른 구성요소에서 나타나는 보안 취약점이 발생할 때 대응할 수 있는 사물인터넷 보안기술을 센서와 디바이스, 네트워크와 서버, 플랫폼과 앱의 3가지 구성으로 나누어 안전성 확보를 위한 보안 기술을 분석하였다.

• 한국인터넷방송통신학회논문지
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• 제17권2호
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• pp.119-126
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• 2017

TCP/IP 표준을 개발하는 IETF의 상위 기구인 IAB는 작은 사물에도 TCP/IP protocol stack을 붙이기로 결정했다. 이는 하나의 작은 사물도 하나의 통신 노드로 인정하여, 이를 다섯 개의 전 계층이 올라간 스마트 오브젝트로 확장하겠다는 상징적인 의미를 가진다. 이러한 배경 아래서 등장한 것이 웹을 기반으로 사물 간 지능적으로 네트워크를 구성해 통신하는 IoT/WoT이다. CoAP는 제한된 환경 내에서 사용할 수 있는 프로토콜로 사물이 인터넷에 연결될 것을 예상하여 만든 표준 규약이다. 이에 따라 본 논문에서는 CoAP 네트워크가 구축된 환경에서 CoAP와 연결되어 관련 사물들의 데이터를 수집하며 관리할 수 있는 Middleware API를 제안하고자 한다.

• 디지털산업정보학회논문지
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• 제14권4호
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• pp.27-33
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• 2018

The recent efforts in academia and industry represent a paradigm shift that will extend the IoT from the home environment so that it is interoperable with the Internet of Vehicles (IoV). IoV is a special kind of IoT. It allows to connect between vehicle and things located in infrastructure. Furthermore, IoV enable to create new intelligent services through collaboration with existing various services such as smart city and connected home. In this paper, we develop a service in order to realize IoV. To this end, we design a novel vehicle service platform which could automatical controlling the IoT device according to drivers' voice. To show practical usability of our proposed platform, we develop a prototype service could be call car-to-thing (C2T). We expect that our proposed platform could eventually contribute to realizing IoV.

• 대한임베디드공학회논문지
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• 제11권3호
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• pp.153-162
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• 2016

This paper proposes an optimal dynamic resource allocation method in IoT (Internet of Things) parking guidance system using Q-learning resource allocation model. In the proposed method, a resource allocation using a forecasting model based on Q-learning is employed for optimal utilization of parking guidance system. To demonstrate efficiency and availability of the proposed method, it is verified by computer simulation and practical testbed. Through simulation results, this paper proves that the proposed method can enhance total throughput, decrease penalty fee issued by SLA (Service Level Agreement) and reduce response time with the dynamic number of users.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권11호
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• pp.5427-5445
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• 2019

While deep neural networks have achieved remarkable performance in representation learning, a huge amount of labeled training data are usually required by supervised deep models such as convolutional neural networks. In this paper, we propose a new representation learning method, namely generative adversarial networks (GAN) based bagging deep convolutional autoencoders (GAN-BDCAE), which can map data to diverse hierarchical representations in an unsupervised fashion. To boost the size of training data, to train deep model and to aggregate diverse learning machines are the three principal avenues towards increasing the capabilities of representation learning of neural networks. We focus on combining those three techniques. To this aim, we adopt GAN for realistic unlabeled sample generation and bagging deep convolutional autoencoders (BDCAE) for robust feature learning. The proposed method improves the discriminative ability of learned feature embedding for solving subsequent pattern recognition problems. We evaluate our approach on three standard benchmarks and demonstrate the superiority of the proposed method compared to traditional unsupervised learning methods.