Alejandro Guerra-Manzanares

According to our database, Alejandro Guerra-Manzanares authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Machine Learning for Android Malware Detection: Mission Accomplished? A Comprehensive Review of Open Challenges and Future Perspectives.

Alejandro Guerra-Manzanares

Comput. Secur., March, 2024

2023

On the application of active learning for efficient and effective IoT botnet detection.

Alejandro Guerra-Manzanares, Hayretdin Bahsi

Future Gener. Comput. Syst., April, 2023

Leveraging the first line of defense: a study on the evolution and usage of android security permissions for enhanced android malware detection.

Alejandro Guerra-Manzanares, Hayretdin Bahsi, Marcin Luckner

J. Comput. Virol. Hacking Tech., March, 2023

Corrigendum to Concept drift and cross-device behavior: Challenges and implications for effective android malware detection Computers & Security, Volume 120, 102757.

Alejandro Guerra-Manzanares, Marcin Luckner, Hayretdin Bahsi

Comput. Secur., 2023

Privacy-Preserving Machine Learning for Healthcare: Open Challenges and Future Perspectives.

Alejandro Guerra-Manzanares, L. Julian Lechuga Lopez, Michail Maniatakos, Farah E. Shamout

Proceedings of the Trustworthy Machine Learning for Healthcare, 2023

2022

Android malware concept drift using system calls: Detection, characterization and challenges.

Alejandro Guerra-Manzanares, Marcin Luckner, Hayretdin Bahsi

Expert Syst. Appl., 2022

On the relativity of time: Implications and challenges of data drift on long-term effective android malware detection.

Alejandro Guerra-Manzanares, Hayretdin Bahsi

Comput. Secur., 2022

Concept drift and cross-device behavior: Challenges and implications for effective android malware detection.

Alejandro Guerra-Manzanares, Marcin Luckner, Hayretdin Bahsi

Comput. Secur., 2022

On the Application of Active Learning to Handle Data Evolution in Android Malware Detection.

Alejandro Guerra-Manzanares, Hayretdin Bahsi

Proceedings of the Digital Forensics and Cyber Crime - 13th EAI International Conference, 2022

2021

KronoDroid: Time-based Hybrid-featured Dataset for Effective Android Malware Detection and Characterization.

Alejandro Guerra-Manzanares, Hayretdin Bahsi, Sven Nõmm

Comput. Secur., 2021

2020

Using MedBIoT Dataset to Build Effective Machine Learning-Based IoT Botnet Detection Systems.

Alejandro Guerra-Manzanares, Jorge Medina-Galindo, Hayretdin Bahsi, Sven Nõmm

Proceedings of the Information Systems Security and Privacy - 6th International Conference, 2020

MedBIoT: Generation of an IoT Botnet Dataset in a Medium-sized IoT Network.

Alejandro Guerra-Manzanares, Jorge Medina-Galindo, Hayretdin Bahsi, Sven Nõmm

Proceedings of the 6th International Conference on Information Systems Security and Privacy, 2020

2019

Differences in Android Behavior Between Real Device and Emulator: A Malware Detection Perspective.

Alejandro Guerra-Manzanares, Hayretdin Bahsi, Sven Nõmm

Proceedings of the Sixth International Conference on Internet of Things: Systems, 2019

Towards the Integration of a Post-Hoc Interpretation Step into the Machine Learning Workflow for IoT Botnet Detection.

Sven Nomm, Alejandro Guerra-Manzanares, Hayretdin Bahsi

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

In-depth Feature Selection and Ranking for Automated Detection of Mobile Malware.

Alejandro Guerra-Manzanares, Sven Nõmm, Hayretdin Bahsi

Proceedings of the 5th International Conference on Information Systems Security and Privacy, 2019

Hybrid Feature Selection Models for Machine Learning Based Botnet Detection in IoT Networks.

Alejandro Guerra-Manzanares, Hayretdin Bahsi, Sven Nõmm

Proceedings of the 2019 International Conference on Cyberworlds, 2019