Rafidha Rehiman K. A.

35 papers B 1Journal 28Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	CTI Dataset Construction from Telegram. ITASEC/SERICS Dincy R. Arikkat, Sneha B. T., Serena Nicolazzo, Antonino Nocera, Vinod P, Rafidha Rehiman K. A., Karthika R
2026	J	`jnl`	Security through the eyes of AI: How visualization is shaping malware detection. Comput. Sci. Rev. Matteo Brosolo, K. A. Asmitha, Mauro Conti, Rafidha Rehiman K. A., Muhammed Shafi K. P., Serena Nicolazzo, Antonino Nocera, Vinod P.
2025	J	`jnl`	Android malware defense through a hybrid multi-modal approach. J. Netw. Comput. Appl. K. A. Asmitha, P. Vinod, Rafidha Rehiman K. A., Neeraj Raveendran, Mauro Conti
2025	J	`jnl`	CTI Dataset Construction from Telegram. CoRR Dincy R. Arikkat, Sneha B. T., Serena Nicolazzo, Antonino Nocera, P. Vinod, Rafidha Rehiman K. A., Karthika R
2025	J	`jnl`	Deep learning fusion for effective malware detection: leveraging visual features. Clust. Comput. Jahez Abraham Johny, K. A. Asmitha, P. Vinod, G. Radhamani, Rafidha Rehiman K. A., Mauro Conti
2025	J	`jnl`	Discerning reliable cyber threat indicators for timely Cyber Threat Intelligence. J. Comput. Virol. Hacking Tech. Dincy R. Arikkat, P. Vinod, Rafidha Rehiman K. A., Corrado Aaron Visaggio, Andrea Di Sorbo, Mauro Conti
2025	J	`jnl`	DroidTTP: Mapping Android Applications with TTP for Cyber Threat Intelligence. CoRR Dincy R. Arikkat, Vinod P., Rafidha Rehiman K. A., Serena Nicolazzo, Marco Arazzi, Antonino Nocera, Mauro Conti
2025	J	`jnl`	DroidTTP: Mapping android applications with TTP for Cyber Threat Intelligence. J. Inf. Secur. Appl. Dincy R. Arikkat, P. Vinod, Rafidha Rehiman K. A., Serena Nicolazzo, Marco Arazzi, Antonino Nocera, Mauro Conti
2025	J	`jnl`	Enhancing Android Malware Detection with Retrieval-Augmented Generation. CoRR Saraga S., Anagha M. S., Dincy R. Arikkat, Rafidha Rehiman K. A., Serena Nicolazzo, Antonino Nocera, P. Vinod
2025	J	`jnl`	GShield: Mitigating Poisoning Attacks in Federated Learning. CoRR K. M. Sameera, Serena Nicolazzo, Antonino Nocera, Vinod P., Rafidha Rehiman K. A.
2025	J	`jnl`	HExNet: Enhancing malware classification through hierarchical CNNs and multi-level feature attribution. J. Inf. Secur. Appl. Muhammed Shafi K. P., Vinod P., Rafidha Rehiman K. A., Alejandro Guerra-Manzanares
2025	J	`jnl`	NLP-based techniques for Cyber Threat Intelligence. Comput. Sci. Rev. Marco Arazzi, Dincy R. Arikkat, Serena Nicolazzo, Antonino Nocera, Rafidha Rehiman K. A., Vinod P., Mauro Conti
2025	—	`conf`	Network Traffic-Based Malware Detection for Android Devices. ITADATA Dincy R. Arikkat, Hasna Jabeen N. K., Mirko Lai, Serena Nicolazzo, Antonino Nocera, Anafa P., Vinod P., Rafidha Rehiman K. A.
2025	J	`jnl`	SeCTIS: A framework to Secure CTI Sharing. Future Gener. Comput. Syst. Dincy R. Arikkat, Mert Cihangiroglu, Mauro Conti, Rafidha Rehiman K. A., Serena Nicolazzo, Antonino Nocera, P. Vinod
2025	J	`jnl`	SecDefender: Detecting low-quality models in multidomain federated learning systems. Future Gener. Comput. Syst. K. M. Sameera, Arnaldo Sgueglia, P. Vinod, Rafidha Rehiman K. A., Corrado Aaron Visaggio, Andrea Di Sorbo, Mauro Conti
2025	J	`jnl`	Security through the Eyes of AI: How Visualization is Shaping Malware Detection. CoRR Matteo Brosolo, Asmitha KA, Rafidha Rehiman K. A., Muhammed Shafi K. P., Serena Nicolazzo, Antonino Nocera, Vinod P.
2025	—	`conf`	Sok: Zero Trust as a Strategy to Address Devsecops Challenges. EuroS&P (Workshops) Anita Nair, Serena Nicolazzo, Antonino Nocera, Rafidha Rehiman K. A., Vinod P.
2025	J	`jnl`	WeiDetect: Weibull Distribution-Based Defense against Poisoning Attacks in Federated Learning for Network Intrusion Detection Systems. CoRR K. M. Sameera, P. Vinod, Anderson Rocha, Rafidha Rehiman K. A., Mauro Conti
2025	J	`jnl`	WeiDetect: Weibull distribution-based defense against poisoning attacks in federated learning for network intrusion detection systems. J. Inf. Secur. Appl. K. M. Sameera, Vinod P., Anderson Rocha, Rafidha Rehiman K. A., Mauro Conti
2024	—	`conf`	DLShield: A Defense Approach Against Dirty Label Attacks in Heterogeneous Federated Learning. SPACE K. M. Sameera, M. Abhinav, P. P. Amal, T. Babu Abhiram, Raj K. Abishek, Tomichen Amal, P. Anaina, P. Vinod, Rafidha Rehiman K. A., Mauro Conti
2024	J	`jnl`	Deep Learning Fusion For Effective Malware Detection: Leveraging Visual Features. CoRR Jahez Abraham Johny, Vinod P., K. A. Asmitha, Radhamani G, Rafidha Rehiman K. A., Mauro Conti
2024	J	`jnl`	Deep learning vs. adversarial noise: a battle in malware image analysis. Clust. Comput. K. A. Asmitha, Vinod Puthuvath, Rafidha Rehiman K. A., S. L. Ananth
2024	J	`jnl`	IntellBot: Retrieval Augmented LLM Chatbot for Cyber Threat Knowledge Delivery. CoRR Dincy R. Arikkat, Abhinav M., Navya Binu, Parvathi M., Navya Biju, K. S. Arunima, Vinod P., Rafidha Rehiman K. A., Mauro Conti
2024	J	`jnl`	LFGurad: A Defense against Label Flipping Attack in Federated Learning for Vehicular Network. Comput. Networks K. M. Sameera, Vinod P., Rafidha Rehiman K. A., Mauro Conti
2024	J	`jnl`	OSTIS: A novel Organization-Specific Threat Intelligence System. Comput. Secur. Dincy R. Arikkat, P. Vinod, Rafidha Rehiman K. A., Serena Nicolazzo, Antonino Nocera, Georgiana Timpau, Mauro Conti
2024	J	`jnl`	Privacy-Preserving in Blockchain-based Federated Learning Systems. CoRR K. M. Sameera, Serena Nicolazzo, Marco Arazzi, Antonino Nocera, Rafidha Rehiman K. A., Vinod P, Mauro Conti
2024	J	`jnl`	Privacy-preserving in Blockchain-based Federated Learning systems. Comput. Commun. K. M. Sameera, Serena Nicolazzo, Marco Arazzi, Antonino Nocera, Rafidha Rehiman K. A., Vinod P., Mauro Conti
2024	—	`conf`	Relation Extraction Techniques in Cyber Threat Intelligence. NLDB (1) Dincy R. Arikkat, P. Vinod, Rafidha Rehiman K. A., Serena Nicolazzo, Antonino Nocera, Mauro Conti
2024	J	`jnl`	SeCTIS: A Framework to Secure CTI Sharing. CoRR Dincy R. Arikkat, Mert Cihangiroglu, Mauro Conti, Rafidha Rehiman K. A., Serena Nicolazzo, Antonino Nocera, Vinod P
2024	B	`conf`	SoK: Visualization-based Malware Detection Techniques. ARES Matteo Brosolo, Vinod Puthuvath, Asmitha KA, Rafidha Rehiman K. A., Mauro Conti
2024	J	`jnl`	XAITrafficIntell: Interpretable Cyber Threat Intelligence for Darknet Traffic Analysis. J. Netw. Syst. Manag. Dincy R. Arikkat, P. Vinod, Rafidha Rehiman K. A., Rabeeba Abdul Rasheed, Mauro Conti
2023	J	`jnl`	A Privacy Preservation Framework Using Integration of Blockchain and Federated Learning. SN Comput. Sci. K. M. Sameera, Rafidha Rehiman K. A., P. Vinod
2023	J	`jnl`	Can Twitter be used to Acquire Reliable Alerts against Novel Cyber Attacks? CoRR Dincy R. Arikkat, P. Vinod, Rafidha Rehiman K. A., Andrea Di Sorbo, Corrado Aaron Visaggio, Mauro Conti
2023	J	`jnl`	NLP-Based Techniques for Cyber Threat Intelligence. CoRR Marco Arazzi, Dincy R. Arikkat, Serena Nicolazzo, Antonino Nocera, Rafidha Rehiman K. A., P. Vinod, Mauro Conti
2022	—	`conf`	Multi-Domain Network Traffic Analysis using Machine Learning and Deep Learning Techniques. IC3 Dincy R. Arikkat, Rafidha Rehiman K. A., Vinod P., Suleiman Y. Yerima, Manoja W, Pooja S, Shilpa Sekhar, Sohan James, Josna Philomina