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On the Deployment of Citizens’ Privacy Preserving Collective Intelligent eBusiness Models in Smart Cities

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJSIA) 바로가기
  • 간행물
    International Journal of Security and Its Applications SCOPUS 바로가기
  • 통권
    Vol.10 No.2 (2016.02)바로가기
  • 페이지
    pp.171-184
  • 저자
    Artemis Avgerou, Panayotis E. Nastou, Dimitra Nastouli, Panos M. Pardalos, Yannis C. Stamatiou
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A269971

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원문정보

초록

영어
During the last two decades the world is being transformed towards a virtual agglomerate of large interconnected cities. Moreover, an integration of digital infrastructures with the physical city infrastructure and facilities is taking place. This integration includes data generating sensors and various internet-connected devices which are dispersed in a city having as a target to offer a variety of services in order to ease citizens’ daily lives. In this, so called, smart city digital ecosystem, companies provide eBusiness models that are based on Collective Intelligence based decision making applications focusing on discovering citizens’ needs by collecting data related to their activities. However, the lack of privacy preserving mechanisms in such applications that eliminate the risk of correlation between citizens’ activities and their identities discourages citizens from providing their data to commerce systems. In this paper, we first discuss a new privacy preserving authentication technology, the Privacy-ABCs, and its successful deployment in a course evaluation pilot in higher education as well as a social networking application for pupils in a school environment. Based on the wide acceptance of this technology by the pilot users, we propose the deployment of a Privacy-ABCs based authentication system in a generic Collective Intelligent eBusiness model in a Smart City. The incorporation of this authentication technology in Collective Intelligence based eServices, has the potential of establishing new market opportunities since citizens’ anonymity will increase their incentives to provide valuable data related to their consuming activities and buying preferences as they move about in the city.

목차

Abstract
 1. Introduction
 2. Attribute-Based Authentication
 3. Incorporating Privacy-ABCs Framework into CI eBusiness Models
  3.1. A Scope Exclusive eBusiness Model
 4. Conclusions
 References

키워드

Smart Cities Privacy Collective Intelligence eBusiness Models; eServices

저자

  • Artemis Avgerou [ Department of Business Administration, University of Patras, Patra, Greece ]
  • Panayotis E. Nastou [ Center for Applied Optimization, University of Florida, Gainesville, USA,3Department of Mathematics, University of Aegean, Samos, Greece ] Corresponding Author
  • Dimitra Nastouli [ Department of Business Administration, University of Patras, Patra, Greece ]
  • Panos M. Pardalos [ Center for Applied Optimization, University of Florida, Gainesville, USA, Department of Industrial Engineering and Systems, University of Florida, Gainesville, USA ]
  • Yannis C. Stamatiou [ Department of Business Administration, University of Patras, Patra, Greece, Computer Technology Institute and Press (“Diophantus”), Patra, 26504, Greece ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJSIA) [Science & Engineering Research Support Center, Republic of Korea(IJSIA)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Security and Its Applications
  • 간기
    격월간
  • pISSN
    1738-9976
  • 수록기간
    2008~2016
  • 등재여부
    SCOPUS
  • 십진분류
    KDC 505 DDC 605

이 권호 내 다른 논문 / International Journal of Security and Its Applications Vol.10 No.2

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