Alejandro Guerra-Manzanares

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Malware Detection

Malicious Executables

Machine Learning

Top Venues

Future Gener. Comput. Syst.

Publications

Risto Vaarandi, Alejandro Guerra-Manzanares
Network IDS alert classification with active learning techniques. J. Inf. Secur. Appl. 81 (2024)
Risto Vaarandi, Alejandro Guerra-Manzanares
Stream clustering guided supervised learning for classifying NIDS alerts. Future Gener. Comput. Syst. 155 (2024)
Saeed Shurrab, Alejandro Guerra-Manzanares, Farah E. Shamout
Multi-modal Masked Siamese Network Improves Chest X-Ray Representation Learning. CoRR (2024)
Alejandro Guerra-Manzanares
Machine Learning for Android Malware Detection: Mission Accomplished? A Comprehensive Review of Open Challenges and Future Perspectives. Comput. Secur. 138 (2024)
Alejandro Guerra-Manzanares, Marcin Luckner, Hayretdin Bahsi
Corrigendum to Concept drift and cross-device behavior: Challenges and implications for effective android malware detection Computers & Security, Volume 120, 102757. Comput. Secur. 124 (2023)
Alejandro Guerra-Manzanares, L. Julian Lechuga Lopez, Michail Maniatakos, Farah E. Shamout
Privacy-Preserving Machine Learning for Healthcare: Open Challenges and Future Perspectives. TML4H (2023)
Alejandro Guerra-Manzanares, Hayretdin Bahsi
On the application of active learning for efficient and effective IoT botnet detection. Future Gener. Comput. Syst. 141 (2023)
Alejandro Guerra-Manzanares, Hayretdin Bahsi, Marcin Luckner
Leveraging the first line of defense: a study on the evolution and usage of android security permissions for enhanced android malware detection. J. Comput. Virol. Hacking Tech. 19 (1) (2023)
Alejandro Guerra-Manzanares, L. Julian Lechuga Lopez, Michail Maniatakos, Farah E. Shamout
Privacy-preserving machine learning for healthcare: open challenges and future perspectives. CoRR (2023)
Alejandro Guerra-Manzanares, Marcin Luckner, Hayretdin Bahsi
Concept drift and cross-device behavior: Challenges and implications for effective android malware detection. Comput. Secur. 120 (2022)
Alejandro Guerra-Manzanares, Marcin Luckner, Hayretdin Bahsi
Android malware concept drift using system calls: Detection, characterization and challenges. Expert Syst. Appl. 206 (2022)
Alejandro Guerra-Manzanares, Hayretdin Bahsi
On the relativity of time: Implications and challenges of data drift on long-term effective android malware detection. Comput. Secur. 122 (2022)
Alejandro Guerra-Manzanares, Hayretdin Bahsi
On the Application of Active Learning to Handle Data Evolution in Android Malware Detection. ICDF2C (2022)
Alejandro Guerra-Manzanares, Hayretdin Bahsi, Sven Nõmm
KronoDroid: Time-based Hybrid-featured Dataset for Effective Android Malware Detection and Characterization. Comput. Secur. 110 (2021)
Alejandro Guerra-Manzanares, Jorge Medina-Galindo, Hayretdin Bahsi, Sven Nõmm
MedBIoT: Generation of an IoT Botnet Dataset in a Medium-sized IoT Network. ICISSP (2020)
Alejandro Guerra-Manzanares, Jorge Medina-Galindo, Hayretdin Bahsi, Sven Nõmm
Using MedBIoT Dataset to Build Effective Machine Learning-Based IoT Botnet Detection Systems. ICISSP (Revised Selected Papers) (2020)
Alejandro Guerra-Manzanares, Sven Nõmm, Hayretdin Bahsi
In-depth Feature Selection and Ranking for Automated Detection of Mobile Malware. ICISSP (2019)
Alejandro Guerra-Manzanares, Hayretdin Bahsi, Sven Nõmm
Differences in Android Behavior Between Real Device and Emulator: A Malware Detection Perspective. IoTSMS (2019)
Alejandro Guerra-Manzanares, Hayretdin Bahsi, Sven Nõmm
Hybrid Feature Selection Models for Machine Learning Based Botnet Detection in IoT Networks. CW (2019)
Sven Nomm, Alejandro Guerra-Manzanares, Hayretdin Bahsi
Towards the Integration of a Post-Hoc Interpretation Step into the Machine Learning Workflow for IoT Botnet Detection. ICMLA (2019)