Results 11 to 20 of about 27,554,039 (290)
ANDROID Exchange Vol 2 Issue 1: open educational resources [PDF]
, 2013 Haigh, Richard, Amaratunga, Dilanthi
openaire +2 more sources
Android Malware Characterization using Metadata and Machine Learning Techniques [PDF]
, 2017 Android Malware has emerged as a consequence of the increasing popularity of smartphones and tablets. While most previous work focuses on inherent characteristics of Android apps to detect malware, this study analyses indirect features and meta-data to ...
Guzmán, Antonio +3 more
core +2 more sources
ANDROID Exchange Vol 1 Issue 2: International Recovery Platform [PDF]
, 2012 Amaratunga, Dilanthi, Haigh, Richard
openaire +1 more source
MUDARRISA: Jurnal Kajian Pendidikan Islam, 2023 This research aims to develop an Android-based educational game to introduce Indonesian culture to Madrasah Ibtidaiyah students. Following the Research and Development methodology with ADDIE model, the study comprises three key stages: 1) analysis of ...
Rofiatun Nisa', Nukh Khozain
semanticscholar +1 more source
Automatically Distilling Storyboard With Rich Features for Android Apps [PDF]
IEEE Transactions on Software Engineering, 2022 Before developing a new mobile app, the development team usually endeavors painstaking efforts to review many existing apps with similar purposes. The review process is crucial in the sense that it reduces market risks and provides inspirations for app ...
Sen Chen +3 more
semanticscholar +1 more source
Security‐based code smell definition, detection, and impact quantification in Android
Software, Practice & Experience, 2023 Android's high market share and extensive functionality make its security a significant concern. Research reveals that many security issues are caused by insecure coding practices.
Yi Zhong +4 more
semanticscholar +1 more source
Call Graph Soundness in Android Static Analysis [PDF]
International Symposium on Software Testing and AnalysisStatic analysis is sound in theory, but an implementation may unsoundly fail to analyze all of a program's code. Any such omission is a serious threat to the validity of the tool's output.
Jordan Samhi +4 more
semanticscholar +1 more source
Mathematics, 2023 Android OS devices are the most widely used mobile devices globally. The open-source nature and less restricted nature of the Android application store welcome malicious apps, which present risks for such devices.
Amerah A. Alabrah
semanticscholar +1 more source
EvadeDroid: A Practical Evasion Attack on Machine Learning for Black-box Android Malware Detection [PDF]
Computers & security, 2021 Over the last decade, researchers have extensively explored the vulnerabilities of Android malware detectors to adversarial examples through the development of evasion attacks; however, the practicality of these attacks in real-world scenarios remains ...
Hamid Bostani, Veelasha Moonsamy
semanticscholar +1 more source
Fastbot2: Reusable Automated Model-based GUI Testing for Android Enhanced by Reinforcement Learning
International Conference on Automated Software Engineering, 2022 We introduce a reusable automated model-based GUI testing technique for Android apps to accelerate the testing cycle. Our key insight is that the knowledge of event-activity transitions from the previous testing runs, i.e., executing which events can ...
Zhengwei Lv +5 more
semanticscholar +1 more source