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Overview of ICmetrics Technology – Security Infrastructure for Autonomous and Intelligent Healthcare System

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJUNESST) 바로가기
  • 간행물
    International Journal of u- and e- Service, Science and Technology 바로가기
  • 통권
    Vol.4 No.3 (2011.09)바로가기
  • 페이지
    pp.49-60
  • 저자
    Yevgeniya Kovalchuk, Klaus McDonald-Maier, Gareth Howells
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A153642

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원문정보

초록

영어
Recent developments in bio-, nano-, and digital technology have changed the way modern healthcare systems operate. The provision of healthcare servicing remotely and exploitation of monitoring and assistive technology within and outside medical institutions mean that medical staff and patients constantly interact with various electronic devices. It also means that sensitive patient data are stored on and being transmitted between these devices. To ensure safe and secure use of medical equipment, as well as authorised access to data, appropriate encryption and debugging infrastructure should be integrated into the modern healthcare system. This paper introduces a novel concept, ICmetrics, that can serve as a basis for developing such infrastructure. More specifically, the ICmetric technology is based on the idea of generating encryption keys directly from the characteristics of electronic systems’ behaviour on both hard- and software levels. This may include features extracted from electronic circuits, sensors, machine-machine and machine-human interfaces, as well communication peripherals. While the proposed technology has a number of advantages over the existing security systems, it also poses interesting research challenges. These challenges along with the proposed solutions are discussed in the paper.

목차

Abstract
 1. Introduction
 2. Related Work
 3. ICmentric Technology
 4. Tasks associated with ICmetrics implementation
  4.1. Development of hardware and software instrumentation for feature col
  4.2. Building an experimental platform for identification of candidate features
  4.3. Analysis of measured feature data
  4.4. Encryption key generation from normalised feature data
  4.5. Developing evaluation and calibration platform
 5. Conclusion
 References

키워드

ICmetrics healthcare systems encryption

저자

  • Yevgeniya Kovalchuk [ School of Computer Science and Electronic Engineering, University of Essex ]
  • Klaus McDonald-Maier [ School of Computer Science and Electronic Engineering, University of Essex ]
  • Gareth Howells [ School of Engineering and Digital Arts, University of Kent ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJUNESST) [Science & Engineering Research Support Center, Republic of Korea(IJUNESST)]
  • 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 u- and e- Service, Science and Technology
  • 간기
    격월간
  • pISSN
    2005-4246
  • 수록기간
    2008~2016
  • 십진분류
    KDC 505 DDC 605

이 권호 내 다른 논문 / International Journal of u- and e- Service, Science and Technology Vol.4 No.3

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