Evaluating the Effectiveness of the Mining Android Sandbox (MAS) Approach for Malicious App Detection in Large Datasets

• Apeksha Bhuekar

  Author

Users widely favor android smartphones for their valued and ever-growing services. As a result, there has been a wide usage of smartphones by a host of users. For instance, a mobile phone device like a smartphone is quite popular among kids, youngsters, and adults too for their day-to-day activities. Increased utilization of smartphones is causing security issues also. Because of the enhancement of malware through virus kits, today the security path has become really difficult for the users. These malware kits enhance the capabilities of malware coders, providing a set of customizable features for ease of use. In simple terms, a virus kit can quickly produce new malware variants based on the previous malware. It is imperative that we see how malware and MBR-Virus Kits have evolved over the years. The designer always creates the malware on the basis of the malware already designed. A significantly high false alarm rate is one of the issues the detection system is encountering which deteriorates the detection system’s working. Only use a metal detector when you can realize that it produces a low false alarm in situations where relevant data has strong confirming evidential support. It is not enough for most dubious scenarios which is why uncertainty analysis and measurement are essential for designing better detection systems.

• PDF

Copyright (c) 2026 International Journal of Intelligent Systems and Data Science

This work is licensed under a Creative Commons Attribution 4.0 International License.