Multi-Domain Network Traffic Analysis using Machine Learning and Deep Learning Techniques. - Dincy R. Arikkat; Rafidha Rehiman K. A.; Vinod P. 001; Suleiman Y. Yerima; Manoja W; Pooja S; Shilpa Sekhar; Sohan James; Josna Philomina (IC3, 2022)

Can Twitter be used to Acquire Reliable Alerts against Novel Cyber Attacks? - Dincy R. Arikkat; P. Vinod 001; Rafidha Rehiman K. A.; Andrea Di Sorbo; Corrado Aaron Visaggio; Mauro Conti (CoRR, 2023)

A Privacy Preservation Framework Using Integration of Blockchain and Federated Learning. - K. M. Sameera; Rafidha Rehiman K. A.; P. Vinod 001 (SN Comput. Sci., 2023)

SoK: Visualization-based Malware Detection Techniques. - Matteo Brosolo; Vinod Puthuvath; Asmitha KA; Rafidha Rehiman K. A.; Mauro Conti (ARES, 2024)

Relation Extraction Techniques in Cyber Threat Intelligence. - Dincy R. Arikkat; P. Vinod 001; Rafidha Rehiman K. A.; Serena Nicolazzo; Antonino Nocera; Mauro Conti (NLDB (1), 2024)

DLShield: A Defense Approach Against Dirty Label Attacks in Heterogeneous Federated Learning. - K. M. Sameera; M. Abhinav; P. P. Amal; T. Babu Abhiram; Raj K. Abishek; Tomichen Amal; P. Anaina; P. Vinod 001; Rafidha Rehiman K. A.; Mauro Conti (SPACE, 2024)

LFGurad: A Defense against Label Flipping Attack in Federated Learning for Vehicular Network. - K. M. Sameera; Vinod P. 001; Rafidha Rehiman K. A.; Mauro Conti (Comput. Networks, 2024)

Privacy-preserving in Blockchain-based Federated Learning systems. - K. M. Sameera; Serena Nicolazzo; Marco Arazzi; Antonino Nocera; Rafidha Rehiman K. A.; Vinod P. 001; Mauro Conti (Comput. Commun., 2024)

OSTIS: A novel Organization-Specific Threat Intelligence System. - Dincy R. Arikkat; P. Vinod 001; Rafidha Rehiman K. A.; Serena Nicolazzo; Antonino Nocera; Georgiana Timpau; Mauro Conti (Comput. Secur., 2024)

Deep Learning Fusion For Effective Malware Detection: Leveraging Visual Features. - Jahez Abraham Johny; Vinod P. 001; K. A. Asmitha; Radhamani G; Rafidha Rehiman K. A.; Mauro Conti (CoRR, 2024)

IntellBot: Retrieval Augmented LLM Chatbot for Cyber Threat Knowledge Delivery. - Dincy R. Arikkat; Abhinav M.; Navya Binu; Parvathi M.; Navya Biju; K. S. Arunima; Vinod P. 001; Rafidha Rehiman K. A.; Mauro Conti (CoRR, 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., 2024)

XAITrafficIntell: Interpretable Cyber Threat Intelligence for Darknet Traffic Analysis. - Dincy R. Arikkat; P. Vinod 001; Rafidha Rehiman K. A.; Rabeeba Abdul Rasheed; Mauro Conti (J. Netw. Syst. Manag., 2024)

NLP-based techniques for Cyber Threat Intelligence. - Marco Arazzi; Dincy R. Arikkat; Serena Nicolazzo; Antonino Nocera; Rafidha Rehiman K. A.; Vinod P. 001; Mauro Conti (Comput. Sci. Rev., 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 001 (Future Gener. Comput. Syst., 2025)

SecDefender: Detecting low-quality models in multidomain federated learning systems. - K. M. Sameera; Arnaldo Sgueglia; P. Vinod 001; Rafidha Rehiman K. A.; Corrado Aaron Visaggio; Andrea Di Sorbo; Mauro Conti (Future Gener. Comput. Syst., 2025)

DroidTTP: Mapping android applications with TTP for Cyber Threat Intelligence. - Dincy R. Arikkat; P. Vinod 001; Rafidha Rehiman K. A.; Serena Nicolazzo; Marco Arazzi; Antonino Nocera; Mauro Conti (J. Inf. Secur. Appl., 2025)

Android malware defense through a hybrid multi-modal approach. - K. A. Asmitha; P. Vinod 001; Rafidha Rehiman K. A.; Neeraj Raveendran; Mauro Conti (J. Netw. Comput. Appl., 2025)

Deep learning fusion for effective malware detection: leveraging visual features. - Jahez Abraham Johny; K. A. Asmitha; P. Vinod 001; G. Radhamani; Rafidha Rehiman K. A.; Mauro Conti (Clust. Comput., 2025)

WeiDetect: Weibull Distribution-Based Defense against Poisoning Attacks in Federated Learning for Network Intrusion Detection Systems. - K. M. Sameera; P. Vinod 001; Anderson Rocha 001; Rafidha Rehiman K. A.; Mauro Conti (CoRR, 2025)

Security through the Eyes of AI: How Visualization is Shaping Malware Detection. - Matteo Brosolo; Asmitha KA; Rafidha Rehiman K. A.; Muhammed Shafi K. P.; Serena Nicolazzo; Antonino Nocera; Vinod P. 001 (CoRR, 2025)

Enhancing Android Malware Detection with Retrieval-Augmented Generation. - Saraga S.; Anagha M. S.; Dincy R. Arikkat; Rafidha Rehiman K. A.; Serena Nicolazzo; Antonino Nocera; P. Vinod 001 (CoRR, 2025)