The use of mobile devices is rising daily in this technological era. A continuous and
increasing number of mobile applications are constantly offered on mobile marketplaces to …

Today's age is Machine Learning (ML) and Data-Mining (DM) Techniques, as both
techniques play a significant role in measuring vulnerability prediction accuracy. In the field …

An increasing number of mental health services are now offered through mobile health
(mHealth) systems, such as in mobile applications (apps). Although there is an …

Previous studies have demonstrated the usefulness of employing automated static analysis
tools (ASAT) and techniques to detect security bugs in software systems. However, these …

Research has established the wide variety of security failures in mobile apps, their
consequences, and how app developers introduce or exacerbate them. What is not well …

Due to the lack of established real-world benchmark suites for static taint analyses of
Android applications, evaluations of these analyses are often restricted and hard to …

Crypto wallet apps help cryptocurrency users to create, store, and manage keys, sign
transactions and keep track of funds. However, if these apps are not adequately protected …

Android users install various apps, such as banking apps, on their smart devices dealing
with user‐sensitive information. The Android framework, via Inter‐Component …

To identify security vulnerabilities in Android applications, numerous static application
security testing (SAST) tools have been proposed. However, it poses significant challenges …

Due to the convenience of access-on-demand to information and business solutions, mobile
apps have become an important asset in the digital world. In the context of the COVID-19 …