Vinod P. - RankMe

28 papers B 1C 2Journal 19Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Context-aware behavioral authentication and privacy preservation in smartphones: Taxonomy and open research issues. Multim. Tools Appl. Susmi Jacob, Vinod P., Sajana T. S.
2026	J	`jnl`	Security in LLM-as-a-Judge: A Comprehensive SoK. CoRR Aiman Al Masoud, Antony Anju, Marco Arazzi, Mert Cihangiroglu, Vignesh Kumar Kembu, Serena Nicolazzo, Antonino Nocera, Vinod P., Saraga Sakthidharan
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`	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`	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`	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`	Through the static: Demystifying malware visualization via explainability. J. Inf. Secur. Appl. Matteo Brosolo, Vinod P., 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
2025	J	`jnl`	XBreaking: Explainable Artificial Intelligence for Jailbreaking LLMs. CoRR Marco Arazzi, Vignesh Kumar Kembu, Antonino Nocera, Vinod P.
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`	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`	MoRSE: Bridging the Gap in Cybersecurity Expertise with Retrieval Augmented Generation. CoRR Marco Simoni, Andrea Saracino, 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	J	`jnl`	vDefender: An explainable and introspection-based approach for identifying emerging malware behaviour at hypervisor-layer in virtualization environment. Comput. Electr. Eng. Avantika Gaur, Preeti Mishra, Vinod P., Arjun Singh, Vijay Varadharajan, Uday Kiran Tupakula, Mauro Conti
2023	J	`jnl`	Sober: Explores for invasive behaviour of malware. J. Inf. Secur. Appl. Mohammadhadi Alaeiyan, Saeed Parsa, Vinod P.
2022	J	`jnl`	A few-shot malware classification approach for unknown family recognition using malware feature visualization. Comput. Secur. Mauro Conti, Shubham Khandhar, Vinod P.
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
2022	C	`conf`	On the Influence of Image Settings in Deep Learning-based Malware Detection. ICISSP Francesco Mercaldo, Fabio Martinelli, Antonella Santone, Vinod P.
2021	—	`conf`	Hide and Seek Game: A Machine Learning Approach for Detecting Malicious Samples in Analysis Environment. IC3 Anandaram S., Ashik Mathew, Jyothish A., Vinod P., Francesco Mercaldo
2021	B	`conf`	Vulnerability Evaluation of Android Malware Detectors against Adversarial Examples. KES Ijas Ah, Vinod P., Akka Zemmari, Harikrishnan D, Godvin Poulose, Don Jose, Francesco Mercaldo, Fabio Martinelli, Antonella Santone
2014	—	`conf`	Discriminant features for metamorphic malware detection. IC3 Jikku Kuriakose, Vinod P.
2014	C	`conf`	Towards the Detection of Undetectable Metamorphic Malware. SIN Jikku Kuriakose, Vinod P.
2014	—	`conf`	X-ANOVA and X-Utest features for Android malware analysis. ICACCI Rincy Raphael, Vinod P., Bini Omman