Dar Aaqib Bashir, Lone Auqib Hamid, Zahoor Saniya, Khan Afshan Amin, Naaz Roohie
Independent Researcher, Jammu and Kashmir, 190015, India.
Department of Computer Science and Engineering, NIT Srinagar, Jammu and Kashmir, 190006, India.
Comput Sci Rev. 2020 Nov;38:100307. doi: 10.1016/j.cosrev.2020.100307. Epub 2020 Sep 23.
Contact Tracing is considered as the first and the most effective step towards containing an outbreak, as resources for mass testing and large quantity of vaccines are highly unlikely available for immediate utilization. Effective contact tracing can allow societies to reopen from lock-down even before availability of vaccines. The objective of mobile contact tracing is to speed up the manual interview based contact tracing process for containing an outbreak efficiently and quickly. In this article, we throw light on some of the issues and challenges pertaining to the adoption of mobile contact tracing solutions for fighting COVID-19. In essence, we proposed an Evaluation framework for mobile contact tracing solutions to determine their usability, feasibility, scalability and effectiveness. We evaluate some of the already proposed contact tracing solutions in light of our proposed framework. Furthermore, we present possible attacks that can be launched against contact tracing solutions along with their necessary countermeasures to thwart any possibility of such attacks.
接触者追踪被视为控制疫情爆发的首要且最有效的步骤，因为大规模检测资源和大量疫苗极不可能立即投入使用。有效的接触者追踪能够使社会在疫苗可用之前就从封锁状态中重新开放。移动接触者追踪的目标是加快基于人工访谈的接触者追踪过程，以便高效且迅速地控制疫情爆发。在本文中，我们阐明了与采用移动接触者追踪解决方案抗击新冠疫情相关的一些问题和挑战。本质上，我们提出了一个移动接触者追踪解决方案的评估框架，以确定其可用性、可行性、可扩展性和有效性。我们根据我们提出的框架评估了一些已经提出的接触者追踪解决方案。此外，我们还介绍了可能针对接触者追踪解决方案发动的攻击以及必要的对策，以挫败此类攻击的任何可能性。
