Intents Analysis of Android Apps for Confidentiality Leakage Detection

2020 ◽  
pp. 43-65
Author(s):  
Rocco Salvia ◽  
Agostino Cortesi ◽  
Pietro Ferrara ◽  
Fausto Spoto
Keyword(s):  
Leakage Detection ◽  
Android Apps

Study on Field Demonstration of High Sensitivity SF6 Leakage Detection Method for Gas Insulated Switchgear

2020 ◽  
Vol 140 (5) ◽  
pp. 409-414
Author(s):  
Masaru Tatemi ◽  
Hisao Inami ◽  
Toshiaki Rokunohe ◽  
Makoto Hirose
Keyword(s):  
Detection Method ◽  
High Sensitivity ◽  
Leakage Detection ◽  
Gas Insulated Switchgear

GPR WATER LEAKAGE DETECTION DURING BUILDING AND EXPLOITATION OF UNDERGROUND CONSTRUCTIONS

2017 ◽  
Vol 7 ◽  
pp. 161-167
Author(s):  
V.V. Nabatov ◽  
◽  
R.M. Gaysin ◽  
P.V. Nikolenko ◽  
◽  
...  
Keyword(s):  
Leakage Detection ◽  
Water Leakage ◽  
Water Leakage Detection ◽  
Underground Constructions

Leakage Detection in Underground Gas Pipeline

2019 ◽  
Vol 7 (6) ◽  
pp. 732-736
Author(s):  
Renuka Kishor Kale ◽  
S. L. Nalbalwar ◽  
S. B. Deosarkar ◽  
Sachin Singh
Keyword(s):  
Gas Pipeline ◽  
Leakage Detection

Review Paper on Dynamic Mechanisms of Data Leakage Detection and Prevention

2019 ◽  
Vol 7 (2) ◽  
pp. 349-358
Author(s):  
Shivakumara T ◽  
Rajshekhar M Patil ◽  
Muneshwara M S
Keyword(s):  
Review Paper ◽  
Leakage Detection ◽  
Dynamic Mechanisms

Data Leakage Detection System based on Deep Learning

2016 ◽  
Vol 4 (2) ◽  
pp. 13-18
Author(s):  
Min-Ji Seo ◽  
◽  
Myung-Ho Kim ◽  
Keyword(s):  
Deep Learning ◽  
Detection System ◽  
Leakage Detection

Tracing or Tracking? A Preliminary Analysis of COVID-19 Outbreak Tracker Apps on Android and User Privacy (Preprint)

2020 ◽  
Author(s):  
Alex Akinbi ◽  
Ehizojie Ojie
Keyword(s):  
Preliminary Analysis ◽  
Service Providers ◽  
User Participation ◽  
Memory Storage ◽  
Phone Call ◽  
Contact Tracing ◽  
Privacy Rights ◽  
User Privacy ◽  
Android Apps ◽  
User Data

BACKGROUND Technology using digital contact tracing apps has the potential to slow the spread of COVID-19 outbreaks by recording proximity events between individuals and alerting people who have been exposed. However, there are concerns about the abuse of user privacy rights as such apps can be repurposed to collect private user data by service providers and governments who like to gather their citizens’ private data. OBJECTIVE The objective of our study was to conduct a preliminary analysis of 34 COVID-19 trackers Android apps used in 29 individual countries to track COVID-19 symptoms, cases, and provide public health information. METHODS We identified each app’s AndroidManifest.xml resource file and examined the dangerous permissions requested by each app. RESULTS The results in this study show 70.5% of the apps request access to user location data, 47% request access to phone activities including the phone number, cellular network information, and the status of any ongoing calls. 44% of the apps request access to read from external memory storage and 2.9% request permission to download files without notification. 17.6% of the apps initiate a phone call without giving the user option to confirm the call. CONCLUSIONS The contributions of this study include a description of these dangerous permissions requested by each app and its effects on user privacy. We discuss principles that must be adopted in the development of future tracking and contact tracing apps to preserve the privacy of users and show transparency which in turn will encourage user participation.

On the Relation between Code Elements and Accessibility Issues in Android Apps

2020 ◽  
Author(s):  
Henrique Neves da Silva ◽  
Andre Takeshi Endo ◽  
Marcelo Medeiros Eler ◽  
Silvia Regina Vergilio ◽  
Vinicius H. S. Durelli
Keyword(s):  
Android Apps ◽  
Accessibility Issues
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