Dr. Rafidha Rehiman K. A.
Assistant ProfessorContact Info
- rafidharehimanka@cusat.ac.in
- Department of Computer Applications, Cochin University of Science and Technology
- CUSAT IQAC Profile
Dr. Rafidha Rehiman K. A.
Dr. Rafidha Rehiman K. A., Assistant Professor at the Department of Computer Application. She has been instrumental in organizing various workshops on security at International/national and state-level institutions. She is also supervising Ph.D. scholars in privacy-preserving data sharing and distributed machine learning. Her current research interests include Cryptography, Information Security, and Cyber forensics Analysis. Her research work focuses on Ransomware Analysis and Cyber Threat Intelligence.
Field Of Special Interest
Information Security
Cyber Forensics
Security Analysis
Machine Learning
Education
Ph.D.
2021M.Tech. Information System Security
2013MCA
2005B.Sc. Mathematics
2001Experience
Assistant Professor
Department of computer applications, Cochin University of Science and Technology, Cochin June 2020 to till dateAssistant Professor on contract
Department of computer applications, Cochin University of Science and Technology, Cochin December 2007 to April 2019Guest Lecturer
Department of computer applications, Cochin University of Science and Technology, Cochin July 2007 – November 2007Guest Lecturer
MSc Software Engineering, Cochin University of Science and Technology, Cochin March 2007 – April 2007Technical Assistant
Department of computer applications, Cochin University of Science and Technology, Cochin November 2006 – February 2007Guest Lecturer
G.V. H. S. S Thrikkakara. January 2005Programmer
Unitech Software Solutions, Alwaye. June 2005 – January 2006Publications
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Jahez Abraham Johny, KA Asmitha, P Vinod, G Radhamani, KA Rafidha Rehiman, Mauro Conti, Deep learning fusion for effective malware detection: leveraging visual features, Cluster Computing. Vol 28, Pp:135, 2025
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Sameera KM, Arnaldo Sgueglia, Vinod P, Rafidha Rehiman KA, Corrado Aaron Visaggio, Andrea Di Sorbo, Mauro Conti, SecDefender: Detecting low-quality models in multidomain federated learning systems, Future Generation Computer Systems, Vol 164, Pp:107587, 2025.
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Dincy R Arikkat, Mert Cihangiroglu, Mauro Conti, Rafidha Rehiman KA, Serena Nicolazzo, Antonino Nocera, P Vinod, SeCTIS: A framework to Secure CTI Sharing, Future Generation Computer Systems, Vol 164, Pp:107562.
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KA Asmitha, P Vinod, Rafidha Rehiman KA, Neeraj Raveendran, Mauro Conti, Android malware defense through a hybrid multi-modal approach, Journal of Network and Computer Applications, Vol 233, PP: 104035, 2025
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KM Sameera, P Vinod, KA Rafidha Rehiman, Mauro Conti, LFGurad: A Defense against Label Flipping Attack in Federated Learning for Vehicular Network, Computer Networks, Vol 254, PP:110768, 2024
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Dincy R Arikkat, P Vinod, Rafidha Rehiman KA, Serena Nicolazzo, Antonino Nocera, Georgiana Timpau, Mauro Conti, OSTIS: A novel organization-specific threat intelligence system, Computers & Security, Vol 145, PP:103990, 2024
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KA Asmitha, Vinod Puthuvath, KA Rafidha Rehiman, SL Ananth, Deep learning vs. adversarial noise: a battle in malware image analysis, Cluster Computing, Vol 27, PP:9191-9220, 2024
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Dincy R Arikkat, P Vinod, KA Rafidha Rehiman, Rabeeba Abdul Rasheed, Mauro Conti, XAITrafficIntell: Interpretable Cyber Threat Intelligence for Darknet Traffic Analysis, Journal of Network and Systems Management, Vol 32, PP:88, 2024.
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KM Sameera, Serena Nicolazzo, Marco Arazzi, Antonino Nocera, Rafidha Rehiman KA, P Vinod, Mauro Conti, Privacy-preserving in Blockchain-based Federated Learning systems, Computer Communications, 2024
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KM Sameera, KA Rafidha Rehiman, P Vinod, A Privacy Preservation Framework Using Integration of Blockchain and Federated Learning, SN Computer Science, PP:703, 2023
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KA Rafidha Rehiman, S Veni, A secure authentication infrastructure for IoT enabled smart mobile devices–an initial prototype, Indian journal of science and technology, PP: 0974-6846,2017.
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R Rehiman, S Veni, Security, privacy and trust for smart mobile devices in internet of things—A literature study, IJARCET, 2015
Profile
scholar.google.com/citations?user=Ue_233kAAAAJ&hl=en&oi=ao
Funded Projects
| Role | Project | Funding Agency |
|---|---|---|
| PI | Automated framework for active Ransomware detection to detract from encryption | State Plan Grant - Seed Money |