• 제목/요약/키워드: COVID-19 Contact-tracing Application

검색결과 5건 처리시간 0.016초

Analyzing Factors Influencing COVID-19 Contact-Tracing Application Users' Mobile Location Service Settings: A Perspective of Information-Motivation-Behavioral Skills Model and Implementation Intention

  • Jongki Kim;Jianbo Wang;Wei Zhang
    • Asia pacific journal of information systems
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    • 제34권2호
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    • pp.541-564
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    • 2024
  • Contact-tracing applications have significantly contributed to mitigating the spread of coronavirus disease 2019 (COVID-19), yet the extensive use of these location-based applications raises serious privacy concerns. Drawing on the Information-Motivation-Behavioral (IMB) skills model, our study investigated factors that influence users' protective behaviors toward location privacy, elucidating the privacy paradox and the mediating role of implementation intention. Through an online survey conducted in China with 311 participants, we found that privacy concerns and privacy awareness positively affected the use of mobile location service settings, with privacy concerns mediating the relationship between privacy awareness and the intention to protect privacy. Furthermore, our study demonstrated the privacy paradox, revealing the pivotal mediating role of implementation intentions in bridging the gap between users' intentions and their actual behaviors. This study offers new perspectives on the privacy paradox, particularly through the lens of implementation intention, and provides valuable insights for motivating greater use of contact-tracing applications. It offers both theoretical and practical guidance for stakeholders to address privacy concerns during global pandemics like COVID-19, thereby encouraging a more widespread and responsible engagement with technology in public health.

'애플과 구글의 코로나 접촉 추적 사양'에 대한 보안성 평가 및 검증 가능한 연산을 이용한 개선 (Security Analysis on 'Privacy-Preserving Contact Tracing Specifications by Apple and Google' and Improvement with Verifiable Computations)

  • 김병연;김휘강
    • 정보보호학회논문지
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    • 제31권3호
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    • pp.291-307
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    • 2021
  • 그동안 COVID-19의 확산을 막고 사회를 정상화하려는 노력이 있었고, 감염 확산 탐지를 위해선 접촉자 추적기술이 필수적이다. 하지만, 정부에 의한 접촉 추적 과정에서 공개된 감염자의 개인 정보 침해에 대한 우려가 제기되고 있고, 이에 Google과 Apple은 개인 정보 보호와 보안을 고려하여 정부와 보건 기관의 COVID-19 확산 방지에 대한 노력을 도울 수 있도록 블루투스 기술을 사용한 접촉 추적 기술을 발표했다. 그러나 더 나은 접촉 추적기술을 제시하기 위해서는 체계적으로 보안 위협 및 취약점 도출하는 과정이 필요하다. 본 논문에서는 STRIDE, LINDDUN 위협 모델링을 통해 COVID-19 접촉 추적 기술에 대한 보안성을 분석하고, 이것을 기반으로 Zero-knowledge Succinctness Non-interactive Arguments of Knowledges(zkSNARKs)와 Public Key Infrastructure(PKI)를 이용해 실질적인 데이터 무결성과 개인 정보 보호 보장 방식을 제안한다.

A Close Contact Tracing Method Based on Bluetooth Signals Applicable to Ship Environments

  • Qianfeng Lin;Jooyoung Son
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권2호
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    • pp.644-662
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    • 2023
  • There are still outbreaks of COVID-19 across the world. Ships increase the risk of worldwide transmission of the virus. Close contact tracing remains as an effective method of reducing the risk of virus transmission. Therefore, close contact tracing in ship environments becomes a research topic. Exposure Notifications API (Application Programming Interface) can be used to determine the encountered location points of close contacts on ships. Location points of close contact are estimated by the encountered location points. Risky areas in ships can be calculated based on the encountered location points. The tracking of close contacts is possible with Bluetooth technology without the Internet. The Bluetooth signal can be used to judge the proximity among detecting devices by using the feature that Bluetooth has a strong signal at close range. This Bluetooth feature makes it possible to trace close contacts in ship environments. In this paper, we propose a method for close contact tracing and showing the risky area in a ship environment by combining beacon and Exposure Notification API using Bluetooth technology. This method does not require an Internet connection for tracing close contacts and can protect the personal information of close contacts.

Contact Tracking Development Trend Using Bibliometric Analysis

  • Li, Chaoqun;Chen, Zhigang;Yu, Tongrui;Song, Xinxia
    • Journal of Information Processing Systems
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    • 제18권3호
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    • pp.359-373
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    • 2022
  • The new crown pneumonia (COVID-19) has become a global epidemic. The disease has spread to most countries and poses a challenge to the healthcare system. Contact tracing technology is an effective way for public health to deal with diseases. Many experts have studied traditional contact tracing and developed digital contact tracking. In order to better understand the field of contact tracking, it is necessary to analyze the development of contact tracking in the field of computer science by bibliometrics. The purpose of this research is to use literature statistics and topic analysis to characterize the research literature of contact tracking in the field of computer science, to gain an in-depth understanding of the literature development status of contact tracking and the trend of hot topics over the past decade. In order to achieve the aforementioned goals, we conducted a bibliometric study in this paper. The study uses data collected from the Scopus database. Which contains more than 10,000 articles, including more than 2,000 in the field of computer science. For popular trends, we use VOSviewer for visual analysis. The number of contact tracking documents published annually in the computer field is increasing. At present, there are 200 to 300 papers published in the field of computer science each year, and the number of uncited papers is relatively small. Through the visual analysis of the paper, we found that the hot topic of contact tracking has changed from the past "mathematical model," "biological model," and "algorithm" to the current "digital contact tracking," "privacy," and "mobile application" and other topics. Contact tracking is currently a hot research topic. By selecting the most cited papers, we can display high-quality literature in contact tracking and characterize the development trend of the entire field through topic analysis. This is useful for students and researchers new to field of contact tracking ai well as for presenting our results to other subjects. Especially when comprehensive research cannot be conducted due to time constraints or lack of precise research questions, our research analysis can provide value for it.

User Visit Certification System using Inaudible Frequency

  • Chung, Myoungbeom
    • 한국컴퓨터정보학회논문지
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    • 제26권7호
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    • pp.57-64
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    • 2021
  • 본 연구는 가청 주파수 범위 중 사람들에게 들리지 않는 주파수를 이용하여 사용자가 방문한 곳을 손쉽게 인증하는 시스템을 제안한다. 비가청 주파수는 일반 스피커에서 생성할 수 있는 18kHz ~ 20kHz 범위에서 신호 주파수를 발생하며, 스마트 기기는 그 주파수를 인식하여 신호 값과 사용자의 ID, 위치 정보를 서버로 전송하여 현재 사용자가 방문한 곳을 인증한다. 그리고 서버에서는 사용자의 방문 이력을 개인별로 분류하여 저장한다. 제안 방법의 효용성을 확인하기 위해 스마트 기기 기반 사용자 인증 애플리케이션을 개발하고 서버 시스템을 구축하여 사용자 인증 실험을 하였으며, 그 결과 99.6%의 정확성을 나타냈다. 그리고 QR 코드를 이용한 방문 인증 비교실험 결과 제안 방법이 보다 우수함을 확인하였다. 즉, 제안 방법은 코로나 시대에 개별 사용자의 역학 조사 활용, 식당 및 시설에 전자 출입 명부 등에 활용할 수 있다.