7 citations · 7 across the 2 of their papers we have counts for
3 papers
GANG-MAM: GAN based enGine for Modifying Android Malware
Renjith G, Sonia Laudanna, Aji S +2
Malware detectors based on machine learning are vulnerable to adversarial attacks. Generative Adversarial Networks (GAN) are architectures based on Neural Networks that could produ…
Malware Detection Using Dynamic Birthmarks
Swapna Vemparala, Fabio Di Troia, Corrado A. Visaggio +2
In this paper, we explore the effectiveness of dynamic analysis techniques for identifying malware, using Hidden Markov Models (HMMs) and Profile Hidden Markov Models (PHMMs), both…
On the Effectiveness of System API-Related Information for Android Ransomware Detection
Michele Scalas, Davide Maiorca, Francesco Mercaldo +3
Ransomware constitutes a significant threat to the Android operating system. It can either lock or encrypt the target devices, and victims are forced to pay ransoms to restore thei…