Rafidha Rehiman K. A.

According to our database, Rafidha Rehiman K. A. authored at least 15 papers between 2022 and 2025.

Collaborative distances:

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

2025

Android malware defense through a hybrid multi-modal approach.

K. A. Asmitha, P. Vinod, Rafidha Rehiman K. A., Neeraj Raveendran, Mauro Conti

J. Netw. Comput. Appl., 2025

SecDefender: Detecting low-quality models in multidomain federated learning systems.

K. M. Sameera, Arnaldo Sgueglia, P. Vinod, Rafidha Rehiman K. A., Corrado Aaron Visaggio, Andrea Di Sorbo, Mauro Conti

Future Gener. Comput. Syst., 2025

SeCTIS: A framework to Secure CTI Sharing.

Dincy R. Arikkat, Mert Cihangiroglu, Mauro Conti, Rafidha Rehiman K. A., Serena Nicolazzo, Antonino Nocera, P. Vinod

Future Gener. Comput. Syst., 2025

2024

XAITrafficIntell: Interpretable Cyber Threat Intelligence for Darknet Traffic Analysis.

Dincy R. Arikkat, P. Vinod, Rafidha Rehiman K. A., Rabeeba Abdul Rasheed, Mauro Conti

J. Netw. Syst. Manag., October, 2024

Deep learning vs. adversarial noise: a battle in malware image analysis.

K. A. Asmitha, Vinod Puthuvath, Rafidha Rehiman K. A., S. L. Ananth

Clust. Comput., October, 2024

Deep Learning Fusion For Effective Malware Detection: Leveraging Visual Features.

Jahez Abraham Johny, Vinod P., K. A. Asmitha, Radhamani G, Rafidha Rehiman K. A., Mauro Conti

CoRR, 2024

OSTIS: A novel Organization-Specific Threat Intelligence System.

Dincy R. Arikkat, P. Vinod, Rafidha Rehiman K. A., Serena Nicolazzo, Antonino Nocera, Georgiana Timpau, Mauro Conti

Comput. Secur., 2024

Privacy-preserving in Blockchain-based Federated Learning systems.

K. M. Sameera, Serena Nicolazzo, Marco Arazzi, Antonino Nocera, Rafidha Rehiman K. A., Vinod P., Mauro Conti

Comput. Commun., 2024

LFGurad: A Defense against Label Flipping Attack in Federated Learning for Vehicular Network.

K. M. Sameera, Vinod P., Rafidha Rehiman K. A., Mauro Conti

Comput. Networks, 2024

Relation Extraction Techniques in Cyber Threat Intelligence.

Dincy R. Arikkat, P. Vinod, Rafidha Rehiman K. A., Serena Nicolazzo, Antonino Nocera, Mauro Conti

Proceedings of the Natural Language Processing and Information Systems, 2024

SoK: Visualization-based Malware Detection Techniques.

Matteo Brosolo, Vinod Puthuvath, Asmitha KA, Rafidha Rehiman K. A., Mauro Conti

Proceedings of the 19th International Conference on Availability, Reliability and Security, 2024

2023

A Privacy Preservation Framework Using Integration of Blockchain and Federated Learning.

K. M. Sameera, Rafidha Rehiman K. A., P. Vinod

SN Comput. Sci., November, 2023

NLP-Based Techniques for Cyber Threat Intelligence.

Marco Arazzi, Dincy R. Arikkat, Serena Nicolazzo, Antonino Nocera, Rafidha Rehiman K. A., P. Vinod, Mauro Conti

CoRR, 2023

Can Twitter be used to Acquire Reliable Alerts against Novel Cyber Attacks?

Dincy R. Arikkat, P. Vinod, Rafidha Rehiman K. A., Andrea Di Sorbo, Corrado Aaron Visaggio, Mauro Conti

CoRR, 2023

2022

Multi-Domain Network Traffic Analysis using Machine Learning and Deep Learning Techniques.

Dincy R. Arikkat, Rafidha Rehiman K. A., Vinod P., Suleiman Y. Yerima, Manoja W, Pooja S, Shilpa Sekhar, Sohan James, Josna Philomina

Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing, 2022