Evidence map›Paper›PMID 40479328›Full record

ArticleMobile networks and applications : MONET2022

Badoo Android and iOS Dating Application Analysis.

Jack Long, Ivan Cvitić, Xiaolu Zhang, Dragan Peraković, Kim-Kwang Raymond Choo

Abstract read
In one paragraph

Article in Mobile networks and applications : MONET, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jack LongDepartment of Information Systems and Cyber Security, University of Texas at San Antonio, San Antonio, TX 78249-0631 USA.
Ivan CvitićFaculty of Transport and Traffic Sciences, University of Zagreb, Vukelićeva 4, 10000 Zagreb, Croatia.ORCID 0000-0003-3728-6711
Xiaolu ZhangDepartment of Information Systems and Cyber Security, University of Texas at San Antonio, San Antonio, TX 78249-0631 USA.
Dragan PerakovićFaculty of Transport and Traffic Sciences, University of Zagreb, Vukelićeva 4, 10000 Zagreb, Croatia.ORCID 0000-0002-0476-9373
Kim-Kwang Raymond ChooDepartment of Information Systems and Cyber Security, University of Texas at San Antonio, San Antonio, TX 78249-0631 USA.ORCID 0000-0001-9208-5336

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Usage of mobile dating apps has been a rising trend in recent times, including during the COVID-19 lockdown periods. One of the key concerns about the use of such apps is in the amount and types of user data collected (e.g., personal and sensitive information such as sexual orientation, and information about online activities such as intimate messages and browsing behaviors). Since it is relatively easy and inexpensive to setup a man-in-the-middle attack and intercept dating app communication, a natural question is then whether the communication is encrypted and/or how much 'useful' information an attacker can infer from the intercepted communication, for example using freely available tools. Seeking to answer this question, we focus on the Badoo dating applications for both Android and iOS mobile devices (i.e., app version 5.187.0 on iPphone 7 (iOS 14.2), and app version 5.198.1 on Moto G5 Plus (Android v7.0)). Specifically, we explain the types of information an individual could obtain using only a laptop and Wireshark, a freely available network capture tool.

Indexed as

Dating app artifactsDating appsMan-in-the-middle attackOnline dating

Identifiers

PMID40479328
PMCPMC9628447

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.