110 citations · 287 across the 7 of their papers we have counts for
6 papers · 1 filter
On the Security and Privacy of AI-based Mobile Health Chatbots
Samuel Wairimu, Leonardo Horn Iwaya
The rise of Artificial Intelligence (AI) has impacted the development of mobile health (mHealth) apps, most notably with the advent of AI-based chatbots used as ubiquitous ``compan…
Security Analysis of Top-Ranked mHealth Fitness Apps: An Empirical Study
Albin Forsberg, Leonardo Horn Iwaya
Mobile health applications (mHealth apps), particularly in the health and fitness category, have experienced an increase in popularity due to their convenience and availability. Ho…
Privacy Impact Assessments in the Wild: A Scoping Review
Leonardo Horn Iwaya, Ala Sarah Alaqra, Marit Hansen +1
Privacy Impact Assessments (PIAs) offer a systematic process for assessing the privacy impacts of a project or system. As a privacy engineering strategy, PIAs are heralded as one o…
Privacy Engineering in the Wild: Understanding the Practitioners' Mindset, Organisational Aspects, and Current Practices
Leonardo Horn Iwaya, Muhammad Ali Babar, Awais Rashid
Privacy engineering, as an emerging field of research and practice, comprises the technical capabilities and management processes needed to implement, deploy, and operate privacy f…
On the Privacy of Mental Health Apps: An Empirical Investigation and its Implications for Apps Development
Leonardo Horn Iwaya, M. Ali Babar, Awais Rashid +1
An increasing number of mental health services are offered through mobile systems, a paradigm called mHealth. Although there is an unprecedented growth in the adoption of mHealth s…
Security and Privacy for mHealth and uHealth Systems: a Systematic Mapping Study
Leonardo Horn Iwaya, Aakash Ahmad, M. Ali Babar
An increased adoption of mobile health (mHealth) and ubiquitous health (uHealth) systems empower users with handheld devices and embedded sensors for a broad range of healthcare se…