Mobile health and privacy: cross sectional study
Objectives To investigate whether and what user data are collected by health related mobile
applications (mHealth apps), to characterise the privacy conduct of all the available mHealth …
applications (mHealth apps), to characterise the privacy conduct of all the available mHealth …
“Leagile” software development: An experience report analysis of the application of lean approaches in agile software development
In recent years there has been a noticeable shift in attention from those who use agile
software development toward lean software development, often labelled as a shift “from …
software development toward lean software development, often labelled as a shift “from …
A first look at privacy analysis of COVID-19 contact-tracing mobile applications
Today's smartphones are equipped with a large number of powerful value-added sensors
and features, such as a low-power Bluetooth sensor, powerful embedded sensors, such as …
and features, such as a low-power Bluetooth sensor, powerful embedded sensors, such as …
The chain of implicit trust: An analysis of the web third-party resources loading
The Web is a tangled mass of interconnected services, where websites import a range of
external resources from various third-party domains. The latter can also load resources …
external resources from various third-party domains. The latter can also load resources …
How to effectively mine app reviews concerning software ecosystem? A survey of review characteristics
App reviews in app stores offer valuable insights into many activities in the software
ecosystem, eg, software development, app marketing, security. As app reviews are known to …
ecosystem, eg, software development, app marketing, security. As app reviews are known to …
Analyzing security issues of android mobile health and medical applications
Objective We conduct a first large-scale analysis of mobile health (mHealth) apps available
on Google Play with the goal of providing a comprehensive view of mHealth apps' security …
on Google Play with the goal of providing a comprehensive view of mHealth apps' security …
Nomoads: Effective and efficient cross-app mobile ad-blocking
Although advertising is a popular strategy for mobile app monetization, it is often desirable to
block ads in order to improve usability, performance, privacy, and security. In this paper, we …
block ads in order to improve usability, performance, privacy, and security. In this paper, we …
[HTML][HTML] {AutoFR}: Automated Filter Rule Generation for Adblocking
USENIX Security '23 Technical Sessions | USENIX Sign In Conferences Attend Registration
Information Registration Discounts Grant Opportunities Venue, Hotel, and Travel Program …
Information Registration Discounts Grant Opportunities Venue, Hotel, and Travel Program …
Dadidroid: An obfuscation resilient tool for detecting android malware via weighted directed call graph modelling
With the number of new mobile malware instances increasing by over 50\% annually since
2012 [24], malware embedding in mobile apps is arguably one of the most serious security …
2012 [24], malware embedding in mobile apps is arguably one of the most serious security …
{iOS}, your {OS}, everybody's {OS}: Vetting and analyzing network services of {iOS} applications
Smartphone applications that listen for network connections introduce significant security
and privacy threats for users. In this paper, we focus on vetting and analyzing the security of …
and privacy threats for users. In this paper, we focus on vetting and analyzing the security of …