Abstract System call sequences representing the runtime behavior of an application is
particularly useful for anomaly detection in mobile applications. However, one of the main …

This paper presents Federated Learning with Adaptive Monitoring and Elimination (FLAME),
a novel solution capable of detecting and mitigating concept drift in Federated Learning (FL) …

As cyber threats and malware attacks increasingly alarm both individuals and businesses,
the urgency for proactive malware countermeasures intensifies. This has driven a rising …

Context: Android games are gaining wide attention from users in recent years. However, the
existing literature reports alarming statistics about banning popular and top-trending Android …

As Android smartphones continue to rise in popularity, the number of malicious programs
targeting the platform has increased dramatically. Methods for efficiently detecting and …

With the rapid development of technology and the increase in the use of Android software,
the number of malware has also increased. This study presents a classification as …

The effective security system improvement from malware attacks on the Android operating
system should be updated and improved. Effective malware detection increases the level of …

In the tumultuous era of digitalization driven by the rapid advancement of information
technology, human interaction with the surrounding environment has undergone a …

The ubiquitous use of PDF files coupled with the increasing sophistication of malware
threats necessitates robust detection mechanisms. This research investigates the potency of …

We introduce MH-1M, one of the most comprehensive and up-todate dataset for advanced
Android malware research. This dataset includes 1,340,515 applications, covering diverse …