• Title/Summary/Keyword: 스마트캡슐

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Encapsulation of SEED Algorithm in HCCL for Selective Encryption of Android Sensor Data (안드로이드 센서 정보의 선택적 암호화를 지원하는 HCCL 기반 SEED 암호의 캡슐화 기능 연구)

  • Kim, Hyung Jong;Ahn, Jae Yoon
    • Journal of the Korea Society for Simulation
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    • v.29 no.2
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    • pp.73-81
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    • 2020
  • HCCL stands for Heterogenous Container Class Library. HCCL is a library that allows heterogeneous types of data to be stored in a container as a single record and to be constructed as a list of the records to be stored in database. With HCCL, encryption/decryption can be done based on the unified data type. Recently, IoT sensor which is embedded in smartphone enables developers to provide various convenient services to users. However, it is also true that infringement of personal information may occur in the process of transmitting sensor information to API and users need to be prepared for this situation in some sense. In this study, we developed a data model that enhances existing security using SEED cryptographic algorithms while managing information of sensors based on HCCL. Due to the fact that the Android environment does not provide permission management function for sensors, this study decided whether or not to encrypt sensor information based on the user's choice so that the user can determine the creation and storage of safe data. For verification of this work, we have presented the performance evaluation by comparing with the situation of storing the sensor data in plaintext.

Data Interworking Model Between DLMS and LwM2M Protocol (DLMS와 LwM2M 프로토콜 간 데이터 연동 모델 연구)

  • Myoung, Nogil;Park, Myunghye;Kim, Younghyun;Kang, Donghoon;Eun, Changsoo
    • KEPCO Journal on Electric Power and Energy
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    • v.6 no.1
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    • pp.29-33
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    • 2020
  • Despite the same system architecture and operation principle, Advanced Metering Infrastructure (AMI) and Internet of Things (IoT) are recognized as a heterogeneous system. This is due to the different object modeling and communication protocols used in smart meters and sensors. However, data interworking between AMI and IoT is expected to be inevitable in the future. In this paper, we propose Device Language Message Specification (DLMS) to Lightweight Machine to Machine (LwM2M) conversion model. The proposed interworking model can reduce the packet size by 46.5% compared to that of the encapsulation method.

Carbon-Encapsulated Ni Catalysts for CO2 Methanation (탄소층으로 캡슐화된 Ni나노입자 촉매의 CO2 메탄화 반응)

  • Kim, Hye Jeong;Kim, Seung Bo;Kim, Dong Hyun;Youn, Jae-Rang;Kim, Min-Jae;Jeon, Sang Goo;Lee, Gyoung-Ja;Lee, Kyubock
    • Korean Journal of Materials Research
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    • v.31 no.9
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    • pp.525-531
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    • 2021
  • Carbon-encapsulated Ni catalysts are synthesized by an electrical explosion of wires (EEW) method and applied for CO2 methanation. We find that the presence of carbon shell on Ni nanoparticles as catalyst can positively affect CO2 methanation reaction. Ni@5C that is produced under 5 % CH4 partial pressure in Ar gas has highest conversions of 68 % at 350 ℃ and 70 % at 400 ℃, which are 73 and 75 % of the thermodynamic equilibrium conversion, respectively. The catalyst of Ni@10C with thicker carbon layer shows much reduced activity. The EEW-produced Ni catalysts with low specific surface area outperform Ni catalysts with high surface area synthesized by solution-based precipitation methods. Our finding in this study shows the possibility of utilizing carbon-encapsulated metal catalysts for heterogeneous catalysis reaction including CO2 methanation. Furthermore, EEW, which is a highly promising method for massive production of metal nanoparticles, can be applied for various catalysis system, requiring scaled-up synthesis of catalysts.