Exploiting a Contact Tracing App to Attack Neighboring Devices
56th Annual Hawaii International Conference on System Sciences, HICSS 2023
; 2023-January:3631-3640, 2023.
Article
in English
| Scopus | ID: covidwho-2295091
ABSTRACT
The recent pandemic fosters an increasing dependency on various forms of digital communications that support social distancing. To mitigate widespread exposure to COVID, the Louisiana Department of Health's COVID Defense contact tracing application helps users learn about potential exposures to infected individuals. This research investigates the viability of using the Louisiana Department of Health's COVID Defense application symptoms share feature as an attack vector. The primary contribution of this research is an initial assessment of the effective modification and distribution of a packaged JSON file that contains a malicious link. Secondly, it highlights the effectiveness of this attack through email, WIFI direct, and nearby share. © 2023 IEEE Computer Society. All rights reserved.
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
56th Annual Hawaii International Conference on System Sciences, HICSS 2023
Year:
2023
Document Type:
Article
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