Write a Blog >>
ICSE 2021
Mon 17 May - Sat 5 June 2021

This program is tentative and subject to change.

The rapid spread of COVID-19 has made traditional manual contact tracing to identify persons in close physical proximity to a known infected person challenging. Hence, various public health authorities have experimented with automating contact tracing with mobile apps. However, these apps have raised security and privacy concerns. In this paper, we propose an automated security and privacy assessment tool, COVIDGuard, which combines identification and analysis of Personal Identification Information (PII), static program analysis, and data flow analysis, to determine security weaknesses and potential private information leakage in contact tracing apps. Further, in light of our findings, we undertake a user study to investigate user concerns regarding contact tracing apps. We hope, COVIDGuard and the issues raised through responsible disclosure to vendors, the concrete guidelines provided, as well as the identified gaps between user requirements and app performance we found, can contribute to the development and deployment of mobile apps against COVID-19 and help us build secure and effective digital contact tracing solutions.

This program is tentative and subject to change.

Fri 28 May
Times are displayed in time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

10:00 - 10:55
4.1.3. Privacy in Apps: Cases from COVID-19SEIS - Software Engineering in Society / Technical Track at Blended Sessions Room 3 +12h
Chair(s): Andrea ZismanThe Open University
10:00
15m
Paper
COVID-19 Vs Social Media apps: Does privacy really matter?SEIS
SEIS - Software Engineering in Society
Omar HaggagMonash University, Australia, Sherif HaggagDeakin University, Australia, John GrundyMonash University, Mohamed AbdelrazekDeakin University, Australia
Pre-print
10:15
20m
Paper
An Empirical Assessment of Global COVID-19 Contact Tracing ApplicationsArtifact ReusableTechnical TrackArtifact Available
Technical Track
Ruoxi SunThe University of Adelaide, Wei (Zach) WangThe University of Adelaide, Minhui (Jason) XueThe University of Adelaide, Gareth TysonQueen Mary University of London, Seyit CamtepeCSIRO Data61, Damith C. RanasingheThe University of Adelaide
Pre-print Media Attached
10:35
20m
Paper
Sustainable Solving: Reducing The Memory Footprint of IFDS-Based Data Flow Analyses Using Intelligent Garbage CollectionTechnical Track
Technical Track
Steven ArztFraunhofer SIT
Pre-print
22:00 - 22:55
4.1.3. Privacy in Apps: Cases from COVID-19Technical Track / SEIS - Software Engineering in Society at Blended Sessions Room 3
22:00
15m
Paper
COVID-19 Vs Social Media apps: Does privacy really matter?SEIS
SEIS - Software Engineering in Society
Omar HaggagMonash University, Australia, Sherif HaggagDeakin University, Australia, John GrundyMonash University, Mohamed AbdelrazekDeakin University, Australia
Pre-print
22:15
20m
Paper
An Empirical Assessment of Global COVID-19 Contact Tracing ApplicationsArtifact ReusableTechnical TrackArtifact Available
Technical Track
Ruoxi SunThe University of Adelaide, Wei (Zach) WangThe University of Adelaide, Minhui (Jason) XueThe University of Adelaide, Gareth TysonQueen Mary University of London, Seyit CamtepeCSIRO Data61, Damith C. RanasingheThe University of Adelaide
Pre-print Media Attached
22:35
20m
Paper
Sustainable Solving: Reducing The Memory Footprint of IFDS-Based Data Flow Analyses Using Intelligent Garbage CollectionTechnical Track
Technical Track
Steven ArztFraunhofer SIT
Pre-print

Information for Participants
Info for Blended Sessions Room 3: