• 제목/요약/키워드: Infrastructure engineering platform

검색결과 136건 처리시간 0.024초

차량용 AUTOSAR 표준 플랫폼 지원을 위한 RTE 및 Generator 개발 (Development of RTE and Generator for Supporting AUTOSAR Standard Platform for Vehicle)

  • 박세권;조현철;조성래;류현기;정우영
    • 대한임베디드공학회논문지
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    • 제2권4호
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    • pp.251-259
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    • 2007
  • AUTOSAR is a partnership of automotive manufacturers and suppliers working together to develop and establish a de-facto open industry standard for automotive software architectures. In the AUTOSAR architecture, the runtime environment is at in the heart of the AUTOSAR architecture to provides the infrastructure services that enable communication between software components and between software components and basic software components. The RTE generator is an automated generation tool for AUTOSAR specification based RTE according to the ECU configuration. It generates communication API function for the software components and the basic software components like OS and COM of the application. The availability and the accuracy of the RTE generator are important for the automobile software which is based on AUTOSAR architecture, this paper proposes an architectural design of the RTE generator for auto-generation of the AUTOSAR based RTE.

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PBFT Blockchain-Based OpenStack Identity Service

  • Youngjong, Kim;Sungil, Jang;Myung Ho, Kim;Jinho, Park
    • Journal of Information Processing Systems
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    • 제18권6호
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    • pp.741-754
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    • 2022
  • Openstack is widely used as a representative open-source infrastructure of the service (IaaS) platform. The Openstack Identity Service is a centralized approach component based on the token including the Memcached for cache, which is the in-memory key-value store. Token validation requests are concentrated on the centralized server as the number of differently encrypted tokens increases. This paper proposes the practical Byzantine fault tolerance (PBFT) blockchain-based Openstack Identity Service, which can improve the performance efficiency and reduce security vulnerabilities through a PBFT blockchain framework-based decentralized approach. The experiment conducted by using the Apache JMeter demonstrated that latency was improved by more than 33.99% and 72.57% in the PBFT blockchain-based Openstack Identity Service, compared to the Openstack Identity Service, for 500 and 1,000 differently encrypted tokens, respectively.

Internet of Drone: Identity Management using Hyperledger Fabric Platforms

  • Etienne, Igugu Tshisekedi;Kang, Sung-Won;Rhee, Kyung-hyune
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2022년도 춘계학술발표대회
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    • pp.204-207
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    • 2022
  • The uses of drones are increasing despite the fact that many of us are still skeptical. In the near future, the data that will be created and used by them will be very voluminous, hence the need to find an architecture that allows good identity management and access control in a decentralized way while guaranteeing security and privacy. In this article, we propose an architecture using hyperledger fabric blockchain platform which will manage the identity in a secure way starting with the registration of the drones on the network then an access control thanks to Public Key Infrastructure (PKI) and membership service provider (MSP) to enable decision-making within the system.

Develoment of high-sensitivity wireless strain sensor for structural health monitoring

  • Jo, Hongki;Park, Jong-Woong;Spencer, B.F. Jr.;Jung, Hyung-Jo
    • Smart Structures and Systems
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    • 제11권5호
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    • pp.477-496
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    • 2013
  • Due to their cost-effectiveness and ease of installation, wireless smart sensors (WSS) have received considerable recent attention for structural health monitoring of civil infrastructure. Though various wireless smart sensor networks (WSSN) have been successfully implemented for full-scale structural health monitoring (SHM) applications, monitoring of low-level ambient strain still remains a challenging problem for WSS due to A/D converter (ADC) resolution, inherent circuit noise, and the need for automatic operation. In this paper, the design and validation of high-precision strain sensor board for the Imote2 WSS platform and its application to SHM of a cable-stayed bridge are presented. By accurate and automated balancing of the Wheatstone bridge, signal amplification of up to 2507-times can be obtained, while keeping signal mean close to the center of the ADC span, which allows utilization of the full span of the ADC. For better applicability to SHM for real-world structures, temperature compensation and shunt calibration are also implemented. Moreover, the sensor board has been designed to accommodate a friction-type magnet strain sensor, in addition to traditional foil-type strain gages, facilitating fast and easy deployment. The wireless strain sensor board performance is verified through both laboratory-scale tests and deployment on a full-scale cable-stayed bridge.

안전한 협업을 위한 VPC 기반 SaaS 프레임워크 (A VPC-based SaaS Framework for Secure Collaboration)

  • 이재경;손정갑;은하수;오희국
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2013년도 추계학술발표대회
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    • pp.849-852
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    • 2013
  • 클라우드 컴퓨팅은 인터넷 기술을 기반으로 하드웨어, 소프트웨어 등의 가상화된 컴퓨팅 자원을 제공하는 기술로 제공되는 서비스의 수준에 따라 IaaS(Infrastructure as a Service), PaaS(Platform as a Service), SaaS(Software as a Service), 세 가지 유형으로 분류된다. 최근에는 기업이나 조직에서 이들 유형 중 SaaS 도입에 대한 관심이 증가하고 있다. 이는 SaaS를 이용하면 기업이나 조직 간의 협업 시스템을 구축하기가 쉬워 업무 효율을 증진시킬 수 있기 때문이다. 하지만 SaaS는 서비스 제공자가 접근 권한을 가지고 있기 때문에 문서에 포함된 정보가 노출될 가능성이 있다. 이러한 문제를 해결하기 위해 본 논문에서는 VPC(Virtual Private Cloud)를 기반으로 하는 SaaS 프레임워크를 제안한다. 제안하는 프레임워크는 VPC 내부에서 SaaS를 운영하기 때문에 서비스 제공자의 개입을 최소화할 수 있으며, 독자적인 인증 관리 시스템과 모니터링 기능을 두어 SaaS에 대한 모든 접근을 관리할 수 있다.

Enhancing Service Availability in Multi-Access Edge Computing with Deep Q-Learning

  • 루숭구 조쉬 음와싱가;샤이드 무하마드 라자;리덕 타이;김문성;추현승
    • 인터넷정보학회논문지
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    • 제24권2호
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    • pp.1-10
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    • 2023
  • The Multi-access Edge Computing (MEC) paradigm equips network edge telecommunication infrastructure with cloud computing resources. It seeks to transform the edge into an IT services platform for hosting resource-intensive and delay-stringent services for mobile users, thereby significantly enhancing perceived service quality of experience. However, erratic user mobility impedes seamless service continuity as well as satisfying delay-stringent service requirements, especially as users roam farther away from the serving MEC resource, which deteriorates quality of experience. This work proposes a deep reinforcement learning based service mobility management approach for ensuring seamless migration of service instances along user mobility. The proposed approach focuses on the problem of selecting the optimal MEC resource to host services for high mobility users, thereby reducing service migration rejection rate and enhancing service availability. Efficacy of the proposed approach is confirmed through simulation experiments, where results show that on average, the proposed scheme reduces service delay by 8%, task computing time by 36%, and migration rejection rate by more than 90%, when comparing to a baseline scheme.

빅데이터 역량 평가를 위한 참조모델 및 수준진단시스템 개발 (An Assessment System for Evaluating Big Data Capability Based on a Reference Model)

  • 천민경;백동현
    • 산업경영시스템학회지
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    • 제39권2호
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    • pp.54-63
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    • 2016
  • As technology has developed and cost for data processing has reduced, big data market has grown bigger. Developed countries such as the United States have constantly invested in big data industry and achieved some remarkable results like improving advertisement effects and getting patents for customer service. Every company aims to achieve long-term survival and profit maximization, but it needs to establish a good strategy, considering current industrial conditions so that it can accomplish its goal in big data industry. However, since domestic big data industry is at its initial stage, local companies lack systematic method to establish competitive strategy. Therefore, this research aims to help local companies diagnose their big data capabilities through a reference model and big data capability assessment system. Big data reference model consists of five maturity levels such as Ad hoc, Repeatable, Defined, Managed and Optimizing and five key dimensions such as Organization, Resources, Infrastructure, People, and Analytics. Big data assessment system is planned based on the reference model's key factors. In the Organization area, there are 4 key diagnosis factors, big data leadership, big data strategy, analytical culture and data governance. In Resource area, there are 3 factors, data management, data integrity and data security/privacy. In Infrastructure area, there are 2 factors, big data platform and data management technology. In People area, there are 3 factors, training, big data skills and business-IT alignment. In Analytics area, there are 2 factors, data analysis and data visualization. These reference model and assessment system would be a useful guideline for local companies.

인지 자동화 기반 모빌리티 로보틱스 프로세스 자동화 시스템 (A Cognitive Automation Based Mobility Robotic Process Automation System)

  • 홍필두
    • 한국정보통신학회논문지
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    • 제23권8호
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    • pp.930-935
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    • 2019
  • 우리의 제안시스템인 mobiAutoBot은 모바일 장치를 지원 가능한 인지 자동화 수준의 로보틱스 프로세스 자동화 소프트웨어의 개념모델이다. mobiAutoBot은 mobiAutoBot controller와 mobiAutoBot runner의 두 부분으로 구성되어 있다. mobiAutoBot controller는 모바일기기에 Job을 지시하고 모니터링 및 연동작업을 수행하며, 모바일기기에 설치된 mobiAutoBot runner는 명령내린 작업을 수행한다. 우리가 제안한 mobiAutoBot을 통하여 모바일기기에 대한 자동화 기능을 중소기업에 제공한다면, 고가의 정보기반 인프라가 없더라도 단순 스마트폰과 같은 모바일기기만으로 기존 정보시스템과 연계 가능한 로보틱스 프로세스 자동화 기능을 저비용으로 구축할 수 있다. 우리의 제안은 모든 정보시스템 인프라를 갖추기는 어려운 중소기업이나 개인 사용자에게도 로보틱스 프로세스 자동화를 확산하는 계기가 될 것으로 기대한다.

자율협력 주행 도로교통 보안기관 설립 및 운영을 위한 방안 연구 (A Study on the Establishment and Operation of Autonomous Cooperative Road Traffic Security Institutions)

  • 김모세;김기천
    • 한국ITS학회 논문지
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    • 제22권1호
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    • pp.208-218
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    • 2023
  • 자율주행 자동차에 대한 연구가 활발하게 진행되고, 상용화를 위한 시도가 각 나라에서 진행되고 있다. 우리나라에서도 자율협력 주행의 상용화를 위해 국토교통부의 주관하에 인프라 구축 사업이 진행되고 있다. 자율협력 주행을 위한 안전한 인프라 구축을 위해서는 인프라를 구성하는 요소에 대한 보안 운영을 담당하는 보안 기관의 존재가 필수적이다. 하지만 현재 한국에 해당 역할을 진행할 수 있는 도로교통 보안기관이 존재하지 않는다. 본 논문에서는 도로교통 보안 기관 설립 및 운영방안을 마련하기 위해 현재 운영 중인 국내의 다른 보안 기관 그리고 관련 법안 정보통신기반 보호법과 주요 정보통신 기반시설 보호지침을 분석하고, 이를 분석한 결과를 바탕으로 C-ITS의 체계에 적절하게 현행법의 수정 방향을 제시하여, C-ITS 도로교통 보안 기관 설립 및 운영방안을 제안한다.

Cloud Security and Privacy: SAAS, PAAS, and IAAS

  • Bokhari Nabil;Jose Javier Martinez Herraiz
    • International Journal of Computer Science & Network Security
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    • 제24권3호
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    • pp.23-28
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    • 2024
  • The multi-tenancy and high scalability of the cloud have inspired businesses and organizations across various sectors to adopt and deploy cloud computing. Cloud computing provides cost-effective, reliable, and convenient access to pooled resources, including storage, servers, and networking. Cloud service models, SaaS, PaaS, and IaaS, enable organizations, developers, and end users to access resources, develop and deploy applications, and provide access to pooled computing infrastructure. Despite the benefits, cloud service models are vulnerable to multiple security and privacy attacks and threats. The SaaS layer is on top of the PaaS, and the IaaS is the bottom layer of the model. The software is hosted by a platform offered as a service through an infrastructure provided by a cloud computing provider. The Hypertext Transfer Protocol (HTTP) delivers cloud-based apps through a web browser. The stateless nature of HTTP facilitates session hijacking and related attacks. The Open Web Applications Security Project identifies web apps' most critical security risks as SQL injections, cross-site scripting, sensitive data leakage, lack of functional access control, and broken authentication. The systematic literature review reveals that data security, application-level security, and authentication are the primary security threats in the SaaS model. The recommended solutions to enhance security in SaaS include Elliptic-curve cryptography and Identity-based encryption. Integration and security challenges in PaaS and IaaS can be effectively addressed using well-defined APIs, implementing Service Level Agreements (SLAs), and standard syntax for cloud provisioning.