“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 systematic overview of the machine learning methods for mobile malware detection

Y Kim, JJ Lee, MH Go, HY Kang… - Security and …, 2022 - Wiley Online Library
With the deployment of the 5G cellular system, the upsurge of diverse mobile applications
and devices has increased the potential challenges and threats posed to users. Industry and …

Artificial intelligence in retail: Benefits and risks associated with mobile shopping applications

V Stanciu, SM Rîndaşu - Amfiteatru Economic, 2021 - ceeol.com
The objective of the study is to examine the practical implications of using artificial
intelligence (AI) based solutions in the case of retail mobile applications, to enhance the …

[HTML][HTML] Efficient on-the-fly Web bot detection

G Suchacka, A Cabri, S Rovetta, F Masulli - Knowledge-Based Systems, 2021 - Elsevier
A large fraction of traffic on present-day Web servers is generated by bots—intelligent
agents able to traverse the Web and execute various advanced tasks. Since bots' activity …

[HTML][HTML] Is my phone listening in? On the feasibility and detectability of mobile eavesdropping

JL Kröger, P Raschke - Data and Applications Security and Privacy XXXIII …, 2019 - Springer
Besides various other privacy concerns with mobile devices, many people suspect their
smartphones to be secretly eavesdropping on them. In particular, a large number of reports …

SCN_GNN: A GNN-based fraud detection algorithm combining strong node and graph topology information

J Chen, Q Chen, F Jiang, X Guo, K Sha… - Expert Systems with …, 2024 - Elsevier
Graph neural networks (GNNs) have exhibited remarkable success in fraud detection.
However, detecting fraud in datasets with scattered graphic densities and multiple relations …

Uncovering download fraud activities in mobile app markets

Y Dou, W Li, Z Liu, Z Dong, J Luo, PS Yu - Proceedings of the 2019 IEEE …, 2019 - dl.acm.org
Download fraud is a prevalent threat in mobile App markets, where fraudsters manipulate
the number of downloads of Apps via various cheating approaches. Purchased fake …

Are we really protected? An investigation into the play protect service

S Hutchinson, B Zhou… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Android smartphones are becoming more and more popular each year. With this increased
user base, comes an increased need for Android OS to protect its users from malicious …

Evaluation of the pedagogical quality of mobile math games in app marketplaces

S Laato, R Lindberg, TH Laine, P Bui… - … and Innovation (ICE …, 2020 - ieeexplore.ieee.org
The number of available educational games has enormously grown and it is difficult for
users to identify which games are pedagogically effective among the multitude of options in …

Detecting Android Malwares with High‐Efficient Hybrid Analyzing Methods

Y Liu, K Guo, X Huang, Z Zhou… - Mobile Information …, 2018 - Wiley Online Library
In order to tackle the security issues caused by malwares of Android OS, we proposed a
high‐efficient hybrid‐detecting scheme for Android malwares. Our scheme employed …