Ripon Patgiri

About

Dr. Ripon Patgiri ([email protected]) has received his Bachelor Degree from Institution of Electronics and Telecommunication Engineers, New Delhi in 2009. He has received his M.Tech. degree from Indian Institute of Technology Guwahati in 2012. He has received his Doctor of Philosophy from National Institute of Technology Silchar in 2019. After M.Tech. degree, he has joined as Assistant Professor at the Department of Computer Science & Engineering, National Institute of Technology Silchar in 2013. He has published numerous papers in reputed journals, conferences, and books. His research interests include distributed systems, file systems, Hadoop and MapReduce, big data, bloom filter, storage systems, and data-intensive computing. He is a senior member of IEEE. He is a member of ACM and EAI. He is a lifetime member of ACCS, India. Also, he is an associate member of IETE. He was General Chair of 6th International Conference on Advanced Computing, Networking, and Informatics (ICACNI 2018, http://www.icacni.com) and International Conference on Big Data, Machine Learning and Applications (BigDML 2019, http://bigdml.nits.ac.in). He is Organizing Chair of 25th International Symposium on Frontiers of Research in Speech and Music (FRSM 2020, http://frsm2020.nits.ac.in) and International Conference on Modeling, Simulations and Applications (CoMSO 2020, http://comso.nits.ac.in). He is convenor, Organizing Chair and Program Chair of 26th annual International Conference on Advanced Computing and Communications (ADCOM 2020). He is guest editor in special issue “Big Data: Exascale computation and beyond” of EAI Endorsed Transactions on Scalable Information Systems. He is also an editor in a multi-authored book, title “Health Informatics: A Computational Perspective in Healthcare“, in the book series of Studies in Computational Intelligence, Springer. Also, he is writing a monograph book, titled “Bloom Filter: A Data Structure for Computer Networking, Big Data, Cloud Computing, Internet of Things, Bioinformatics and Beyond“, Elsevier. He has been awarded with four Australian Patents.

Employment

• National Institute of Technology Silchar Assistant Professor
  2013 - Present

Education

• National Institute of Technology Silchar PhD

Projects & Funding

Projects & funding information is unavailable.

Publications (113)

• Privacy-Preserving Collaborative Detection of Novel DDoS Attacks in IoT Networks Using Federated Learning
  International Journal of Software Engineering and Knowledge Engineering 2026 DOI: 10.1142/S021819402650049X
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• Hy‐Cert: A Hybrid Certificate Verification System Using Blockchain for Secure Communication
  Concurrency and Computation: Practice and Experience 2026 DOI: 10.1002/cpe.70655
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• Zero-day attack detection with a Dynamic-Weighted Contractive Autoencoder and GAN-based evaluation
  Computers and Electrical Engineering 2025 DOI: 10.1016/j.compeleceng.2025.110650
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• A review on edge analytics: Issues, challenges, opportunities, promises, future directions, and applications
  Digital Communications and Networks 2024 DOI: 10.1016/j.dcan.2022.10.016
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• Cryptanalysis of cross-coupled chaotic maps multi-image encryption scheme
  Journal of Information Security and Applications 2024 DOI: 10.1016/j.jisa.2023.103694
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• A Survey on DDoS Detection Using Deep Learning in Software Defined Networking
  2024 DOI: 10.1007/978-981-99-3481-2_37
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• A survey of graph neural networks in various learning paradigms: methods, applications, and challenges
  Artificial Intelligence Review 2023 DOI: 10.1007/s10462-022-10321-2
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• eBF: an enhanced Bloom Filter for intrusion detection in IoT
  Journal of Big Data 2023 DOI: 10.1186/s40537-023-00790-9
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• PO-GNN: Position-observant inductive graph neural networks for position-based prediction
  Information Processing & Management 2023 DOI: 10.1016/j.ipm.2023.103333
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• A vision on the artificial intelligence for 6G communication
  ICT Express 2023 DOI: 10.1016/j.icte.2022.05.005
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