With the deployment of the 5G cellular system, the upsurge of diverse mobile applications
and devices has increased the potential challenges and threats posed to users. Industry and …

In recent years, Android malware has been overgrown, challenging malware analysts.
However, there has been a lot of research in detecting and classifying Android malware …

Abstract Machine learning methods are widely used in Android malware detection, but
carefully scrambled adversarial samples can effectively evade detection. Adversarial …

Each malware application belongs to a specific malware family, and each family has unique
characteristics. However, existing Android malware detection schemes do not pay attention …

Most users utilize android smartphones for almost all activities. However, malicious attacks
on these devices rose exponentially. Samples can be classified accurately, but earlier …

Android operating system is a mobile operating system that is always the highest market
share in the last five years. Security risks on Android operating system are increasing over …

Los desarrolladores de malware cada vez evolucionan más sus técnicas para lograr atacar
efectivamente el sistema, una de estas técnicas es la ofuscación de código que dificulta la …

Dramatic regional or even global decline in insect abundance has emerged as a critical
concern. Effective but simple methods are needed for monitoring changes in insect …

A Complete Bibliography of ACM Transactions on Management Information Systems (TMIS)
Page 1 A Complete Bibliography of ACM Transactions on Management Information Systems …