Assessing student readiness for mobile learning from a cybersecurity perspective

F Eliza, R Fadli, MA Ramadhan, VLP Sutrisno… - Online Journal of …, 2024 - ojcmt.net
This research aims to measure student readiness in implementing mobile learning from a
cybersecurity perspective. Using a quantitative method with a survey approach, the …

Overview of Mobile Attack Detection and Prevention Techniques Using Machine Learning.

AK Al Hwaitat, HN Fakhouri… - … of Interactive Mobile …, 2024 - search.ebscohost.com
In light of the increasing sophistication and frequency of mobile attacks, there is a growing
demand for advanced intelligent techniques capable of offering comprehensive mobile …

A Model for Android Platform Malware Detection Utilizing Multiple Machine Learning Algorithms

H Albazar, H Abdel-Jaber, M Naser, A Hamid - Informatica, 2024 - informatica.si
In today's technological landscape, the ubiquitous use of mobile devices underscores their
critical importance in facilitating daily tasks and enabling a wide array of functionalities, from …

Método de Referencia para Identificar Vulnerabilidades en Aplicaciones Android en PYMES utilizando Herramientas Automatizadas de Código Abierto

CE Miranda Quezada, F Vasquez Vasquez… - repositorioacademico.upc.edu.pe
Las PYMES, en su rápido avance hacia la digitalización, han adoptado en gran medida las
aplicaciones móviles para mejorar su competitividad y servicio. Sin embargo, esta adopción …