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Dr. Vinod P.
Professor and Head of the DepartmentContact Info
- vinod.p@cusat.ac.in
- Department of Computer Applications, Cochin University of Science and Technology
- CUSAT IQAC Profile
Dr. Vinod P.
Dr. Vinod P., is presently a Professor in the Department of Computer Applications at Cochin University of Science & Technology, Cochin, Kerala. He was a Postdoctoral Researcher at the Department of Mathematics, University of Padua, Italy, where he implemented the EU-H2020 project named TagitSmart. He was also a Postdoctoral researcher at Malaviya National Institute of Technology, Jaipur, Rajasthan under the ISEA project on Mobile Security. He holds his Ph.D. in Computer Engineering from Malaviya National Institute of Technology, Jaipur, India. Recently he was awarded Marie Sklodowska-Curie Post Doctoral fellowship under Horizon Europe .For the implementation of this project, he is approved 1,88,590.08/- Euros from the host institution of research which is the University of Padua, Italy . In 2021 he was awarded the Seal of Excellence for a Marie Skłodowska-Curie Individual Fellowship project proposal (Project Title OPTIMA: Organization Specific Threat Intelligence Mining and Sharing ) by the European Commission. For the implementation of this project, he is approved 100,000 Euros from the host institution of research which is the University of Padua, Italy. He has numerous research articles published in peer-reviewed Journals and International Conferences. He is a reviewer of a number of security journals few to name are IEEE Transactions of Information Forensics, IEEE Communication Surveys and Tutorials, Elsevier Computer Communications, and is also serving as a programme committee member in the International Conferences related to Computer and Information Security. Dr.Vinod’s area of interest is Adversarial Machine Learning, Malware Analysis, Context aware privacy-preserving Data Mining, and Natural Language Processing.
Field Of Special Interest
Adversarial Machine Learning
Context aware privacy-preserving
Natural Language Processing
Malware Analysis
Data Mining
Education
Post-Doctoral Researcher
(“SPRITZ Security and privacy Group”), at the Department of Mathematics,University of Padua, Italy (2017-2018)EU H2020 Project TagItSmart! - A Smart Tags driven service platform for enabling ecosystems of connected objects. Principal Supervisor: Prof.Mauro Conti, University of Padua, ItalyPost-Doctoral Fellowship
Malaviya National Institute of Technology, Jaipur (2016-2017) Project: Mobile Security, Information Security Education Awareness-II (ISEA-II) Principal Supervisor: Prof.Manoj Singh Gaur, Director, Indian Institute of Technology, JammuPh.D. in Computer Engineering
Malaviya National Institute of Technology, Jaipur (2008-2012) Thesis: Malware Detection Methodologies Principal Supervisor: Prof.Vijaylaxmi, Malaviya National Institute of Technology, Jaipur Co-Supervisor: Prof. Manoj Singh Gaur Malaviya National Institute of Technology, JaipurM.Tech. Information Technology
School of IT, RGPV,Bhopal, India (Duration:2003-2005)B.E. in Computer Science & Engineering
RGPV, Bhopal, India(Duration: 1997-2001)Experience
Professor
Department of Computer Applications, Cochin University of Science and Technology (CUSAT), Cochin, Kerala November 2020 - Till DateProfessor & Head
Department of Computer Science & Engineering, SCMS School of Engineering & Technology, Kerala, India 2017-October 2020Associate Professor
Department of Computer Science & Engineering, SCMS School of Engineering & Technology, Kerala, India 2012-2017Assistant Professor
Department of Computer Science & Engineering, SCMS School of Engineering & Technology, Kerala, India 2005-November 2012Lecturer
Department of Computer Science & Engineering, Oriental Institute of Science & Technology, Bhopal, MadhyaPradesh, India 2002-2003Lecturer
Department of Computer Science & Engineering, Mandsaur Institute of Technology, MadhyaPradesh, India 2001-2002Publications
1. Brosolo, Matteo, P. Vinod, and Mauro Conti. "Through the static: Demystifying malware visualization via explainability." Journal of Information Security and Applications 91 (2025):104063.
2. Johny, Jahez Abraham, K. A. Asmitha, P. Vinod, G. Radhamani, KA Rafidha Rehiman, and Mauro Conti. "Deep learning fusion for effective malware detection: leveraging visual features."Cluster Computing 28, no. 2 (2025): 135.
3. Sameera, K. M., Arnaldo Sgueglia, P. Vinod, Rafidha Rehiman KA, Corrado Aaron Visaggio,Andrea Di Sorbo, and Mauro Conti. "SecDefender: Detecting low-quality models in multidomain federated learning systems." Future Generation Computer Systems 164 (2025): 107587.
4. Arikkat, Dincy R., Mert Cihangiroglu, Mauro Conti, Rafidha Rehiman KA, Serena Nicolazzo, and Antonino Nocera. "Sectis: A framework to secure cti sharing." Future Generation Computer Systems 164 (2025): 107562.
5. Laudanna, Sonia, Andrea Di Sorbo, P. Vinod, Corrado Aaron Visaggio, and Gerardo Canfora."Transformer or Autoencoder? Who is the ultimate adversary for attack detectors?." International Journal of Information Security 24, no. 1 (2025): 26.
6. Asmitha, K. A., P. Vinod, Rafidha Rehiman KA, Neeraj Raveendran, and Mauro Conti. "Android malware defense through a hybrid multi-modal approach." Journal of Network and Computer Applications 233 (2025): 104035.
7. Gaur, Avantika, Preeti Mishra, Arjun Singh, Vijay Varadharajan, Uday Tupakula, and Mauro Conti. "vDefender: An explainable and introspection-based approach for identifying emerging malware behaviour at hypervisor-layer in virtualization environment." Computers and Electrical Engineering 120 (2024): 109742.
8. Sameera, K. M., P. Vinod, and K. A. Rafidha Rehiman. "Lfgurad: A defense against label flipping attack in federated learning for vehicular network." Computer Networks 254 (2024): 110768.
9. Arikkat, Dincy R., P. Vinod, K. A. Rafidha Rehiman, Rabeeba Abdul Rasheed, and Mauro Conti. "XAITrafficIntell: Interpretable Cyber Threat Intelligence for Darknet Traffic Analysis." Journal of Network and Systems Management 32, no. 4 (2024): 88.
10. Arikkat, Dincy R., P. Vinod, Rafidha Rehiman KA, Serena Nicolazzo, Antonino Nocera, Georgiana Timpau, and Mauro Conti. "OSTIS: A novel organization-specific threat intelligence system." Computers & Security 145 (2024): 103990.
11. Singh, Arjun, Preeti Mishra, P. Vinod, Avantika Gaur, and Mauro Conti. "SFC-NIDS: a sustainable and explainable flow filtering based concept drift-driven security approach for network introspection." Cluster Computing 27, no. 7 (2024): 9757-9782.
12. Asmitha, K. A., Vinod Puthuvath, K. A. Rafidha Rehiman, and S. L. Ananth. "Deep learning vs. adversarial noise: a battle in malware image analysis." Cluster Computing 27, no. 7 (2024): 9191-9220.
Profile
https://sites.google.com/view/vinod-p