| MedBIoT: Generation of an IoT Botnet Dataset in a Medium-sized IoT Network. A Guerra-Manzanares, J Medina-Galindo, H Bahsi, S Nõmm 6th International Conference on Information Systems Security and Privacy …, 2020 | 105 | 2020 |
| Kronodroid: Time-based hybrid-featured dataset for effective android malware detection and characterization A Guerra-Manzanares, H Bahsi, S Nõmm Computers & Security 110, 102399, 2021 | 69 | 2021 |
| Hybrid feature selection models for machine learning based botnet detection in IoT networks A Guerra-Manzanares, H Bahsi, S Nomm 2019 International Conference on Cyberworlds (CW), 324-327, 2019 | 55 | 2019 |
| Android malware concept drift using system calls: detection, characterization and challenges A Guerra-Manzanares, M Luckner, H Bahsi Expert Systems with Applications 206, 117200, 2022 | 22 | 2022 |
| Concept drift and cross-device behavior: Challenges and implications for effective android malware detection A Guerra-Manzanares, M Luckner, H Bahsi Computers & Security 120, 102757, 2022 | 20 | 2022 |
| Honeyio4: the construction of a virtual, low-interaction iot honeypot A Guerra-Manzanares Universitat Politècnica de Catalunya. Escola Politècnica Superior d …, 2017 | 15 | 2017 |
| Towards the Integration of a Post-Hoc Interpretation Step into the Machine Learning Workflow for IoT Botnet Detection A Guerra-Manzanares, S Nomm, H Bahsi 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 14 | 2019 |
| Leveraging the first line of defense: A study on the evolution and usage of android security permissions for enhanced android malware detection A Guerra-Manzanares, H Bahsi, M Luckner Journal of Computer Virology and Hacking Techniques 19 (1), 65-96, 2023 | 11 | 2023 |
| In-depth Feature Selection and Ranking for Automated Detection of Mobile Malware. A Guerra-Manzanares, S Nomm, H Bahsi 5th International Conference on Information Systems Security and Privacy …, 2019 | 11 | 2019 |
| Time-frame analysis of system calls behavior in machine learning-based mobile malware detection A Guerra-Manzanares, S Nõmm, H Bahsi 2019 International Conference on Cyber Security for Emerging Technologies …, 2019 | 10 | 2019 |
| Differences in android behavior between real device and emulator: a malware detection perspective A Guerra-Manzanares, H Bahsi, S Nõmm 2019 Sixth International Conference on Internet of Things: Systems …, 2019 | 10 | 2019 |
| On the relativity of time: Implications and challenges of data drift on long-term effective android malware detection A Guerra-Manzanares, H Bahsi Computers & Security 122, 102835, 2022 | 8 | 2022 |
| On the application of active learning for efficient and effective IoT botnet detection A Guerra-Manzanares, H Bahsi Future Generation Computer Systems 141, 40-53, 2023 | 5 | 2023 |
| Cross-device behavioral consistency: benchmarking and implications for effective android malware detection A Guerra-Manzanares, M Välbe Machine Learning with Applications 9, 100357, 2022 | 5 | 2022 |
| Using MedBIoT Dataset to Build Effective Machine Learning-Based IoT Botnet Detection Systems A Guerra-Manzanares, J Medina-Galindo, H Bahsi, S Nõmm International Conference on Information Systems Security and Privacy, 222-243, 2022 | 5 | 2022 |
| Privacy-preserving machine learning for healthcare: open challenges and future perspectives A Guerra-Manzanares, LJL Lopez, M Maniatakos, FE Shamout International Workshop on Trustworthy Machine Learning for Healthcare, 25-40, 2023 | 4 | 2023 |
| Machine Learning for Android Malware Detection: Mission Accomplished? A Comprehensive Review of Open Challenges and Future Perspectives A Guerra-Manzanares Computers & Security 138, 103654, 2023 | 2* | 2023 |
| On the Application of Active Learning to Handle Data Evolution in Android Malware Detection A Guerra-Manzanares, H Bahsi International Conference on Digital Forensics and Cyber Crime, 256-273, 2022 | 2 | 2022 |
| Network IDS alert classification with active learning techniques R Vaarandi, A Guerra-Manzanares Journal of Information Security and Applications 81, 103687, 2024 | | 2024 |
| Enhancing Chest X-Ray Representation Learning with Masked Siamese Networks and Electronic Health Records S Shurrab, A Guerra-Manzanares, F Shamout Medical Imaging with Deep Learning, 2024 | | 2024 |
