Advanced Test Methodologies for Evaluation of Android Mobile Antivirus

The increasing reliance on mobile devices for sensitive activities has amplified the need for effective mobile antivirus solutions, particularly for the Android operating system, which is more susceptible to security threats due to its open source framework. This study aims to fill the gap in standardized evaluation criteria for mobile antivirus by developing comprehensive evaluation criteria and creating an experimental environment to assess various commercial antivirus products available on the Google Play Store. Key evaluation criteria included detection performance, resource optimization, update frequency, user-friendliness, and device compatibility. Results indicated that most antivirus products exhibited high detection rates, especially against financial malware, although there was notable variability in response times and update cycles, with two products significantly underperforming in both detection efficiency and speed. The study underscores the necessity for enhanced detection rules to reduce false positives and better handle potentially unwanted applications. This research provides a critical foundation for users to make informed decisions regarding antivirus products and for developers to improve the effectiveness of mobile antivirus solutions. Future work will focus on refining detection methodologies and expanding evaluation protocols to adapt to the rapidly evolving landscape of cyber threats, ensuring robust protection for mobile device users.