Identifying security issues for mobile applications based on user review summarization

C Tao, H Guo, Z Huang - Information and Software Technology, 2020 - Elsevier
Context With the development of mobile apps, public concerns about security issues are
continually rising. From the user's perspective, it is crucial to be aware of the security issues …

A deep learning system for health care IoT and smartphone malware detection

M Amin, D Shehwar, A Ullah, T Guarda… - Neural Computing and …, 2022 - Springer
The use of smart and connected devices, such as Android and Internet of Things (IoT) have
increased exponentially. In the last 10 years, mobiles and IoT devices have surpassed PC's …

On tracking information flows through jni in android applications

C Qian, X Luo, Y Shao… - 2014 44th Annual IEEE …, 2014 - ieeexplore.ieee.org
Android provides native development kit through JNI for developing high-performance
applications (or simply apps). Although recent years have witnessed a considerable …

Are your training datasets yet relevant? an investigation into the importance of timeline in machine learning-based malware detection

K Allix, TF Bissyandé, J Klein, Y Le Traon - International Symposium on …, 2015 - Springer
In this paper, we consider the relevance of timeline in the construction of datasets, to
highlight its impact on the performance of a machine learning-based malware detection …

[PDF][PDF] Evaluating generalization in classical and quantum generative models

K Gili, M Mauri, A Perdomo-Ortiz - arXiv preprint arXiv:2201.08770, 2022 - zapata.ai
Defining and accurately measuring generalization in generative models remains an ongoing
challenge and a topic of active research within the machine learning community. This is in …

Personalized app recommendation based on app permissions

M Peng, G Zeng, Z Sun, J Huang, H Wang, G Tian - World Wide Web, 2018 - Springer
With the development of science and technology, the popularity of smart phones has made
exponential growth in mobile phone application market. How to help users to select …

A novel Android malware detection system: adaption of filter-based feature selection methods

DÖ Şahin, OE Kural, S Akleylek, E Kılıç - Journal of Ambient Intelligence …, 2023 - Springer
Android is the most preferred mobile operating system in the world. Applications are
available from both official application repositories and other application stores. For these …

Merging permission and api features for android malware detection

M Qiao, AH Sung, Q Liu - 2016 5th IIAI international congress …, 2016 - ieeexplore.ieee.org
The prosperity of mobile devices have been rapidly and drastically reforming the use pattern
and of user habits with computing devices. Android, the most popular mobile operating …

Engineering privacy in smartphone apps: A technical guideline catalog for app developers

M Hatamian - IEEE Access, 2020 - ieeexplore.ieee.org
With the rapid growth of technology in recent years, we are surrounded by or even
dependent on the use of technological devices such as smartphones as they are now an …

[HTML][HTML] Android malware detection: mission accomplished? A review of open challenges and future perspectives

A Guerra-Manzanares - Computers & Security, 2023 - Elsevier
The vast body of machine learning based Android malware detection research, reporting
high-performance metrics using a wide variety of proposed solutions, enables the logical …