127 citations · 129 across the 5 of their papers we have counts for
7 papers
NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection
Aitor Sánchez-Ferrera, Usue Mori, Borja Calvo +1
Time series anomaly detection plays a critical role in a wide range of real-world applications. Among unsupervised approaches, self-supervised learning has gained traction for mode…
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…
A review on outlier/anomaly detection in time series data
Ane Blázquez-García, Angel Conde, Usue Mori +1
Recent advances in technology have brought major breakthroughs in data collection, enabling a large amount of data to be gathered over time and thus generating time series. Mining…
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…
A review on distance based time series classification
Amaia Abanda, Usue Mori, Jose A. Lozano
Time series classification is an increasing research topic due to the vast amount of time series data that are being created over a wide variety of fields. The particularity of the…