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ORCIDAlejandro Guerra-Manzanares
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2020 – today
- 2024
[j11]Alejandro Guerra-Manzanares
:
Machine Learning for Android Malware Detection: Mission Accomplished? A Comprehensive Review of Open Challenges and Future Perspectives. Comput. Secur. 138: 103654 (2024)- [j10]Risto Vaarandi, Alejandro Guerra-Manzanares:
Stream clustering guided supervised learning for classifying NIDS alerts. Future Gener. Comput. Syst. 155: 231-244 (2024) - [j9]Risto Vaarandi, Alejandro Guerra-Manzanares:
Network IDS alert classification with active learning techniques. J. Inf. Secur. Appl. 81: 103687 (2024) - [j8]Alejandro Guerra-Manzanares, Hayretdin Bahsi:
Experts still needed: boosting long-term android malware detection with active learning. J. Comput. Virol. Hacking Tech. 20(4): 901-918 (2024) - [i2]Saeed Shurrab, Alejandro Guerra-Manzanares, Farah E. Shamout:
Multi-modal Masked Siamese Network Improves Chest X-Ray Representation Learning. CoRR abs/2407.04449 (2024) - 2023
- [j7]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: 102998 (2023) - [j6]Alejandro Guerra-Manzanares, Hayretdin Bahsi:
On the application of active learning for efficient and effective IoT botnet detection. Future Gener. Comput. Syst. 141: 40-53 (2023) - [j5]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): 65-96 (2023) - [c8]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: 25-40 - [i1]Alejandro Guerra-Manzanares, L. Julian Lechuga Lopez, Michail Maniatakos, Farah E. Shamout:
Privacy-preserving machine learning for healthcare: open challenges and future perspectives. CoRR abs/2303.15563 (2023) - 2022
- [j4]Alejandro Guerra-Manzanares, Marcin Luckner, Hayretdin Bahsi:
Concept drift and cross-device behavior: Challenges and implications for effective android malware detection. Comput. Secur. 120: 102757 (2022) - [j3]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: 102835 (2022) - [j2]Alejandro Guerra-Manzanares, Marcin Luckner, Hayretdin Bahsi:
Android malware concept drift using system calls: Detection, characterization and challenges. Expert Syst. Appl. 206: 117200 (2022) - [c7]Alejandro Guerra-Manzanares, Hayretdin Bahsi:
On the Application of Active Learning to Handle Data Evolution in Android Malware Detection. ICDF2C 2022: 256-273 - 2021
- [j1]Alejandro Guerra-Manzanares, Hayretdin Bahsi, Sven Nõmm:
KronoDroid: Time-based Hybrid-featured Dataset for Effective Android Malware Detection and Characterization. Comput. Secur. 110: 102399 (2021) - 2020
- [c6]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: 207-218 - [c5]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: 222-243
2010 – 2019
- 2019
- [c4]Alejandro Guerra-Manzanares, Hayretdin Bahsi, Sven Nõmm:
Hybrid Feature Selection Models for Machine Learning Based Botnet Detection in IoT Networks. CW 2019: 324-327 - [c3]Alejandro Guerra-Manzanares, Sven Nõmm, Hayretdin Bahsi:
In-depth Feature Selection and Ranking for Automated Detection of Mobile Malware. ICISSP 2019: 274-283 - [c2]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: 1162-1169 - [c1]Alejandro Guerra-Manzanares, Hayretdin Bahsi, Sven Nõmm:
Differences in Android Behavior Between Real Device and Emulator: A Malware Detection Perspective. IoTSMS 2019: 399-404
Coauthor Index
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