127 citations · 129 across the 4 of their papers we have counts for
4 papers
Light up that Droid! On the Effectiveness of Static Analysis Features against App Obfuscation for Android Malware Detection
Borja Molina-Coronado, Antonio Ruggia, Usue Mori +3
Malware authors have seen obfuscation as the mean to bypass malware detectors based on static analysis features. For Android, several studies have confirmed that many anti-malware…
Efficient Concept Drift Handling for Batch Android Malware Detection Models
Molina-Coronado B., Mori U., Mendiburu A. +1
The rapidly evolving nature of Android apps poses a significant challenge to static batch machine learning algorithms employed in malware detection systems, as they quickly become…
Towards a Fair Comparison and Realistic Evaluation Framework of Android Malware Detectors based on Static Analysis and Machine Learning
Borja Molina-Coronado, Usue Mori, Alexander Mendiburu +1
As in other cybersecurity areas, machine learning (ML) techniques have emerged as a promising solution to detect Android malware. In this sense, many proposals employing a variety…
Survey of Network Intrusion Detection Methods from the Perspective of the Knowledge Discovery in Databases Process
Borja Molina-Coronado, Usue Mori, Alexander Mendiburu +1
The identification of cyberattacks which target information and communication systems has been a focus of the research community for years. Network intrusion detection is a complex…