| A survey on deep learning for cybersecurity: Progress, challenges, and opportunities M Macas, C Wu, W Fuertes Computer Networks 212, 109032, 2022 | 133 | 2022 |
| Adversarial examples: A survey of attacks and defenses in deep learning-enabled cybersecurity systems M Macas, C Wu, W Fuertes Expert Systems with Applications 238, 122223, 2024 | 47 | 2024 |
| An unsupervised framework for anomaly detection in a water treatment system M Macas, C Wu 2019 18th IEEE international conference on machine learning and applications …, 2019 | 45 | 2019 |
| Data Mining model in the discovery of trends and patterns of intruder attacks on the data network as a public-sector innovation M Macas, L Lagla, W Fuertes, G Guerrero, T Toulkeridis 2017 Fourth International Conference on eDemocracy & eGovernment (ICEDEG), 55-62, 2017 | 23 | 2017 |
| Machine Learning-Based Traffic Classification in Software-Defined Networking: A Systematic Literature Review, Challenges, and Future Research Directions. D Nunez-Agurto, W Fuertes, L Marrone, M Macas IAENG International Journal of Computer Science 49 (4), 2022 | 21 | 2022 |
| Deep learning methods for cybersecurity and intrusion detection systems M Macas, C Wu 2020 IEEE Latin-American Conference on Communications (LATINCOM), 1-6, 2020 | 21 | 2020 |
| An environment-specific prioritization model for information-security vulnerabilities based on risk factor analysis J Reyes, W Fuertes, P Arévalo, M Macas Electronics 11 (9), 1334, 2022 | 15 | 2022 |
| Enhanced cyber-physical security through deep learning techniques M Macas, W Chunming Proc. CPS summer school Ph. D. workshop, 72-83, 2019 | 13 | 2019 |
| Efficient middlebox scaling for virtualized intrusion prevention systems in software-defined networks J Xing, C Wu, H Zhou, Q Cheng, D Yu, M Macas Science China. Information Sciences 65 (8), 189102, 2022 | 3 | 2022 |
| Human and Cognitive Factors involved in Phishing Detection. A Literature Review D Arévalo, D Valarezo, W Fuertes, MF Cazares, RO Andrade, M Macas 2023 Congress in Computer Science, Computer Engineering, & Applied Computing …, 2023 | 2 | 2023 |
| Artificial intelligence-based banana ripeness detection J Enríquez, M Macas International Conference on Applied Technologies, 197-211, 2022 | 2 | 2022 |
| Development processes of vulnerability detection systems: a systematic review, approaches, challenges, and future directions J Reyes, W Fuertes, M Macas International Conference on Applied Technologies, 335-350, 2021 | 2 | 2021 |
| Análisis Comparativo de Bibliotecas Multiplataforma para el Desarrollo de Aplicaciones de Escritorio Aplicado a la Escuela de Diseño Gráfico. MA Macas Carrasco, AE Jácome Quintanilla | 2 | 2012 |
| An Attention-Based Deep Generative Model for Anomaly Detection in Industrial Control Systems M Macas, C Wu, W Fuertes arXiv preprint arXiv:2405.05277, 2024 | 1 | 2024 |
| Literature Review of SMS Phishing Attacks: Lessons, Addresses, and Future Challenges D Barrera, V Naranjo, W Fuertes, M Macas International Conference on Advanced Research in Technologies, Information …, 2023 | 1 | 2023 |
| Social Engineering Shoulder Surfing Attacks (SSAs): A Literature Review. Lessons, Challenges, and Future Directions B Zurita, S Bosque, W Fuertes, M Macas International Conference on Advanced Research in Technologies, Information …, 2023 | | 2023 |
| Development Processes of Vulnerability Detection Systems: A Systematic Review, Approaches, Challenges, and Future J Reyes, W Fuertes, M Macas Applied Technologies: Third International Conference, ICAT 2021, Quito …, 2022 | | 2022 |
| An Environment-Specific Prioritization Model for Information-Security Vulnerabilities Based on Risk Factor Analysis. Electronics 2022, 11, 1334 J Reyes, W Fuertes, P Arévalo, M Macas Cyber Security and Critical Infrastructures, 23, 2022 | | 2022 |
| Information Security Education Journal (ISEJ) M Macas, W Chunming | | |