Mobile health and privacy: cross sectional study

G Tangari, M Ikram, K Ijaz, MA Kaafar, S Berkovsky - bmj, 2021 - bmj.com
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 …

“Leagile” software development: An experience report analysis of the application of lean approaches in agile software development

X Wang, K Conboy, O Cawley - Journal of Systems and Software, 2012 - Elsevier
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 …

A first look at privacy analysis of COVID-19 contact-tracing mobile applications

MA Azad, J Arshad, SMA Akmal, F Riaz… - IEEE internet of …, 2020 - ieeexplore.ieee.org
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 …

The chain of implicit trust: An analysis of the web third-party resources loading

M Ikram, R Masood, G Tyson, MA Kaafar… - The World Wide Web …, 2019 - dl.acm.org
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 …

How to effectively mine app reviews concerning software ecosystem? A survey of review characteristics

XH Wang, T Zhang, YS Tan, W Shang, Y Li - Journal of Systems and …, 2024 - Elsevier
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 …

Analyzing security issues of android mobile health and medical applications

G Tangari, M Ikram, IWB Sentana, K Ijaz… - Journal of the …, 2021 - academic.oup.com
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 …

Nomoads: Effective and efficient cross-app mobile ad-blocking

A Shuba, A Markopoulou, Z Shafiq - Proceedings on Privacy …, 2018 - petsymposium.org
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 …

[HTML][HTML] {AutoFR}: Automated Filter Rule Generation for Adblocking

H Le, J Hayes, S Elmalaki, M Nasr… - 32nd USENIX Security …, 2023 - usenix.org
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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

M Ikram, P Beaume, MA Kâafar - arXiv preprint arXiv:1905.09136, 2019 - arxiv.org
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 …

{iOS}, your {OS}, everybody's {OS}: Vetting and analyzing network services of {iOS} applications

Z Tang, K Tang, M Xue, Y Tian, S Chen… - 29th USENIX Security …, 2020 - usenix.org
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 …