Abstract
This study investigates the effectiveness of five antivirus programs (Kaspersky, AVG, McAfee, TrendMicro, and Bitdefender) on Android devices, focusing on key performance metrics such as detection rates, battery usage, storage management, and operating temperature. Employing a mixed-methods approach, the research combines qualitative and quantitative data to provide a comprehensive assessment of each antivirus program's capabilities. The findings reveal that Kaspersky and AVG excel in detection rates while maintaining efficient energy usage and low device temperatures. Conversely, McAfee exhibits higher power consumption and lower detection rates, and TrendMicro and Bitdefender, despite good detection capabilities, result in increased device temperatures. The study concludes that selecting antivirus software requires a balanced evaluation of protection efficacy and operational efficiency, highlighting the importance of diverse device testing and the integration of advanced performance assessment tools in future research.
Metadata
| Item Type: | Article |
|---|---|
| Creators: | Creators Email / ID Num. Rosli, Nur Syaqirah Iwani 2021853872@student.uitm.edu.my Buja, Alya Geogiana geogiana@uitm.edu.my |
| Subjects: | Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Operating systems (Computers) > Android Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Cryptography. Access control. Computer security |
| Divisions: | Universiti Teknologi MARA, Melaka > Jasin Campus > Faculty of Computer and Mathematical Sciences |
| Journal or Publication Title: | Progress in Computer and Mathematics Journal (PCMJ) |
| ISSN: | 3030-6728 |
| Volume: | 2 |
| Page Range: | pp. 231-242 |
| Keywords: | Antivirus effectiveness, Android devices, Detection rates, Battery usage, Storage management, Operating temperature, Kaspersky, AVG, McAfee, TrendMicro, Bitdefender, Mixed methods approach, Protection efficacy, Operational efficiency, Performance assessment, Malware impact |
| Date: | August 2025 |
| URI: | https://ir.uitm.edu.my/id/eprint/126885 |
