Zil e Huma

Orcid: 0000-0003-0500-1566

According to our database1, Zil e Huma authored at least 10 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Erratum: Adversarial Machine Learning in IoT Security: A Comprehensive Survey.
ACM Comput. Surv., July, 2026

Adversarial Machine Learning in IoT Security: A Comprehensive Survey.
ACM Comput. Surv., June, 2026

2025
Enhancing IoT Security: A Meta-Learning Approach to Adversarial Robustness.
Proceedings of the 21th International Conference on Wireless and Mobile Computing, 2025

2024
ACNN-IDS: An Attention-Based CNN for Cyberattack Detection in IoT.
Proceedings of the 2024 2nd International Conference on Cyber Resilience (ICCR), 2024

2022
Intrusion Detection Framework for the Internet of Things Using a Dense Random Neural Network.
IEEE Trans. Ind. Informatics, 2022

HDL-IDS: A Hybrid Deep Learning Architecture for Intrusion Detection in the Internet of Vehicles.
Sensors, 2022

A federated learning framework for cyberattack detection in vehicular sensor networks.
Complex Intell. Syst., 2022

2021
Deep Learning for the Industrial Internet of Things (IIoT): A Comprehensive Survey of Techniques, Implementation Frameworks, Potential Applications, and Future Directions.
Sensors, 2021

Blockchain technology for the industrial Internet of Things: A comprehensive survey on security challenges, architectures, applications, and future research directions.
Trans. Emerg. Telecommun. Technol., 2021

A Hybrid Deep Random Neural Network for Cyberattack Detection in the Industrial Internet of Things.
IEEE Access, 2021


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