• 한국지능시스템학회논문지
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• 제27권1호
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• pp.65-71
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• 2017

기존 사물인터넷은 보안성이 취약하기 때문에 정보유출로 인한 재산피해가 일어날 수 있다. 특히 사물인터넷을 기반으로 구축된 스마트 도어락 시스템은 그 피해가 더욱 크게 발생될 수 있다. 본 논문에서는 이러한 문제점을 해결하기 위해 센서에서 발생된 데이터를 조건에 따라 분류하여 Google Cloud Message(GCM)을 통해 사용자의 스마트폰으로 알람 메시지를 전송하였다. 스마트폰 애플리케이션을 통해 실시간으로 영상을 확인할 수 있도록 하였고, TCP/IP 프로토콜을 이용하여 도어락을 제어하였다. 또한 OTP-Based Matrix SEED 알고리즘을 도어락 시스템에 적용하여 보안성을 향상시켰다.

• 한국컴퓨터정보학회논문지
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• 제24권5호
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• pp.49-58
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• 2019

In this paper, we propose an edge cloud platform architecture for implementing smart factory. The edge cloud platform is one of edge computing architecture which is mainly focusing on the efficient computing between IoT devices and central cloud. So far, edge computing has put emphasis on reducing latency, bandwidth and computing cost in areas like smart homes and self-driving cars. On the other hand, in this paper, we suggest not only common functional architecture of edge system but also light weight cloud based architecture to apply to the specialized requirements of smart factory. Cloud based edge architecture has many advantages in terms of scalability and reliability of resources and operation of various independent edge functions compare to typical edge system architecture. To make sure the availability of edge cloud platform in smart factory, we also analyze requirements of smart factory edge. We redefine requirements from a 4M1E(man, machine, material, method, element) perspective which are essentially needed to be digitalized and intelligent for physical operation of smart factory. Based on these requirements, we suggest layered(IoT Gateway, Edge Cloud, Central Cloud) application and data architecture. we also propose edge cloud platform architecture using lightweight container virtualization technology. Finally, we validate its implementation effects with case study. we apply proposed edge cloud architecture to the real manufacturing process and compare to existing equipment engineering system. As a result, we prove that the response performance of the proposed approach was improved by 84 to 92% better than existing method.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권6호
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• pp.3254-3272
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• 2017

With the development of wireless access technologies and the popularity of mobile intelligent terminals, cloud computing is expected to expand to mobile environments. Attribute-based encryption, widely applied in cloud computing, incurs massive computational cost during the encryption and decryption phases. The computational cost grows with the complexity of the access policy. This disadvantage becomes more serious for mobile devices because they have limited resources. To address this problem, we present an efficient verifiable outsourced scheme based on the bilinear group of prime order. The scheme is called the verifiable outsourced computation ciphertext-policy attribute-based encryption scheme (VOC-CP-ABE), and it provides a way to outsource intensive computing tasks during encryption and decryption phases to CSP without revealing the private information and leaves only marginal computation to the user. At the same time, the outsourced computation can be verified by two hash functions. Then, the formal security proofs of its (selective) CPA security and verifiability are provided. Finally, we discuss the performance of the proposed scheme with comparisons to several related works.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2014년도 춘계학술발표대회
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• pp.142-145
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• 2014

지금까지 교통사고 예방을 위한 도로 정보 등을 제공하기 위해 차량 간 통신 네트워크인 Vehicular Ad hoc NETwork (VANET)연구가 활발히 진행되어왔다. 그러나 각 자동차의 On board unit (OBU)의 계산 능력, 저장 공간 등을 효율적으로 사용하는 연구는 진행되어 오지 않았다. 2011년 Olariu et al. 가 cloud computing을 기존의 VANET에 적용하는 개념인 Autonomous Vehicular cloud[1]를 제시하면서 새로운 VANET 연구의 새로운 장을 열었다. 기존의 VANET연구는 지금까지의 각각의 자동차의 통신 성능을 높이는 것에 초점을 맞추었지만, 새로운 아이디어는 높아진 각 자동차의 능력을 효율적으로 이용하여, 유용하게 사용하는 것에 초점을 맞추었다. 이것은 Intelligent Transport System (ITS)의 구축에 한발 더 나아갈 수 있게 하였다. 그 이후 VANET cloud computing (VCC)에 관한 많은 연구들이 진행되었으나 보안적인 측면에서는 아직 연구가 미흡한 실정이다. 그래서 본 논문에서는 보안을 보완한 VCC 아키텍처를 제안한다.

• 전자통신동향분석
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• 제34권3호
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• pp.23-33
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• 2019

Broadcast is evolving into media service aimed at user customization, personalization, and participation with high-quality broadcasting contents (4K/8K/AR/VR). A broadcast infrastructure is needed to engage with the competition for providing large-scaled media traffic process, platform performance for adaptive transcoding to diverse receivers, and intelligent service. Cloud service and virtualization in broadcast are becoming more valuable as the broadcasting environment changes and new high-level broadcasting services emerge. This document describes the examples of cloud and virtualization in the broadcast industry, and prospects the network virtualization of broadcast transmission infrastructure, especially terrestrial and cable networks.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2019년도 춘계학술대회
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• pp.325-326
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• 2019

본 논문은 텍스트 마이닝 기법으로 명사의 빈도수를 조사하여 워드클라우드를 나타내는 기존의 방법을 개선하여 지능적 워드클라우드를 구현하는 방법을 제안한다. 텍스트 마이닝 시에 명사 단어를 추출하는 사전에 누락된 신조어 등의 단어를 효과적으로 추가하고, 동사 등 다른 품사위주의 워드클라우드를 시각적으로 보여주는 방법을 제안한다. 실험에서 기존 명사의 빈도수 추출에는 KoNLP 패키지를 사용하였고, 지원되지 않는 신조어 80개를 추가하였고 빈도수를 수동으로 조사하여 추가하였다.

• Journal of Information Processing Systems
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• 제19권2호
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• pp.240-257
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• 2023

The industrial Internet of Things (IIoT) is characterized by intelligent connection, real-time data processing, collaborative monitoring, and automatic information processing. The heterogeneous IIoT devices require a high data rate, high reliability, high coverage, and low delay, thus posing a significant challenge to information security. High-performance edge and cloud servers are a good backup solution for IIoT devices with limited capabilities. However, privacy leakage and network attack cases may occur in heterogeneous IIoT environments. Cloud-based multi-party computing is a reliable privacy-protecting technology that encourages multiparty participation in joint computing without privacy disclosure. However, the default cloud selection method does not meet the heterogeneous IIoT requirements. The server can be dishonest, significantly increasing the probability of multi-party computation failure or inefficiency. This paper proposes a blockchain and smart contract-based optimized cloud node selection framework. Different participants choose the best server that meets their performance demands, considering the communication delay. Smart contracts provide a progressive request mechanism to increase participation. The simulation results show that our framework improves overall multi-party computing efficiency by up to 44.73%.

• International Journal of Advanced Culture Technology
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• 제10권2호
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• pp.246-251
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• 2022

As the number of data and devices explodes, centralized data processing and AI analysis have limitations due to the load on the network and cloud. On-device AI technology can provide intelligent services without overloading the network and cloud because the device itself performs AI models. Accordingly, the need for on-device AI technology is emerging. Many smartphones are equipped with On-Device AI technology to support the use of related functions. In this paper, we compare software tools that implement On-Device AI.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2019년도 춘계학술대회
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• pp.556-557
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• 2019

현재의 영상감시 시스템은 3세대로서 영상장치는 저화질에서 고화질로 발전하였으며, 영상감시 솔루션은 단순형에서 지능형으로 발전함으로써 영상감시 성능이 향상되었다. 그러나 이러한 영상감시 시스템에 대한 장비 및 기술이 복잡해지고 다변화되면서 더 빠른 네트워크 속도, 안전한 전원공급 등 기반 인프라에 대한 의존성이 더욱 높아지고 있는 한편, 전력 및 통신과 같은 기본 인프라가 제한적인 지역에서의 영상 감시 지원에 대한 필요성이 증가하고 있다. 본 논문에서는 이렇듯이 기본 인프라가 제한적인 지역에서 지능형 영상감시를 지원할 수 있는 시스템을 제안한다.

• Journal of information and communication convergence engineering
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• 제20권3호
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• pp.166-173
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• 2022

Recently, studies have been conducted on intelligent transportation systems (ITS) that provide safety and convenience to humans. Systems that compose the ITS adopt architectures that applied the cloud computing which consists of a high-performance general-purpose processor or graphics processing unit. However, an architecture that only used the cloud computing requires a high network bandwidth and consumes much power. Therefore, applying edge computing to ITS is essential for solving these problems. In this paper, we propose an edge artificial intelligence (AI) device based ITS. Edge AI which is applicable to various systems in ITS has been applied to license plate recognition. We implemented edge AI on a field-programmable gate array (FPGA). The accuracy of the edge AI for license plate recognition was 0.94. Finally, we synthesized the edge AI logic with Magnachip/Hynix 180nm CMOS technology and the power consumption measured using the Synopsys's design compiler tool was 482.583mW.