Madhabananda Das
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Madhabananda Das has a total of 23 co-authors. Here are the top co-authors by number of shared publications:
- Dayal Kumar Behera
KIIT Deemed to be University
2 shared publications - Sandeep Kumar Panda
ICFAI Foundation for Higher Education
2 shared publications Saroj Kumar Nanda
KIIT Deemed to be University
2 shared publications- Subhra Swetanisha
Department of CSE, Trident Academy of Technology, Bhubaneswar, India
2 shared publications Suresh Chandra Satapathy
KIIT Deemed to be University
2 shared publications- Amulya Ratna Swain
KIIT University
1 shared publication
Latest Publications
- 1 February 2024
- Published by Springer Nature in Wireless Personal Communications
- Vol. 134 (3) , 1349-1366
High Payload Image Steganography Using DNN Classification and Adaptive Difference Expansion
- 1 February 2024
- Published by Springer Nature in Wireless Personal Communications
- Vol. 134 (3) , 1349-1366
High Payload Image Steganography Using DNN Classification and Adaptive Difference Expansion
- Top Cited Papers
- 4 March 2023
- Published by Springer Nature in Multimedia Tools and Applications
- Vol. 82 (21) , 32917-32939
Medical supply chain integrated with blockchain and IoT to track the logistics of medical products
Nowadays blockchain technology plays a vital role in creative developments and important discoveries in the world. Blockchain develops secure and trustworthy platforms for data sharing in various application areas such as secure sharing of medical data, Anti-money laundering, tracking systems, Supply chain, and logistics monitoring, Crypto-currency exchange, etc. Today’s Supply chain in the healthcare sector faces many problems like security, transparency, tampering with medical products, counterfeit drugs, more paperwork, high cost, and more time-consuming process while transporting medical equipment from manufacture to end-users. To overcome these problems, we introduce Novel Approach for Integrated IoT (Internet of Things) With Blockchain in Health Supply Chain (NAIBHSC) approach. By using this approach, we can eliminate all supply chain-related issues between suppliers and end-users. The goal of this research is by combining Blockchain technology with IoT to develop a smart health supply chain management system. This approach provides security, privacy, trust, visibility, decentralized tracking and tracing of the medical product, avoids counterfeit drugs, avoids the damage to medical components, authentication, reduces the cost, and provides the status of the products during the shipment process between manufacturers to end-user. In this approach, we conduct a series of experiments on a different group of users. The experimental results show that compare to existing approaches our proposed NAIBHSC approach gives better response time that is the average Transaction Per Second (TPS) for a group of 500 users is 100 milliseconds, reduces the latency time that is average latency time for 500 users group has 403 milliseconds, and improves the overall performance of the smart health supply chain management system.
- 4 March 2023
- Published by Springer Nature in Multimedia Tools and Applications
- Vol. 82 (21) , 32917-32939
Top Cited PapersMedical supply chain integrated with blockchain and IoT to track the logistics of medical products
Nowadays blockchain technology plays a vital role in creative developments and important discoveries in the world. Blockchain develops secure and trustworthy platforms for data sharing in various application areas such as secure sharing of medical data, Anti-money laundering, tracking systems, Supply chain, and logistics monitoring, Crypto-currency exchange, etc. Today’s Supply chain in the healthcare sector faces many problems like security, transparency, tampering with medical products, counterfeit drugs, more paperwork, high cost, and more time-consuming process while transporting medical equipment from manufacture to end-users. To overcome these problems, we introduce Novel Approach for Integrated IoT (Internet of Things) With Blockchain in Health Supply Chain (NAIBHSC) approach. By using this approach, we can eliminate all supply chain-related issues between suppliers and end-users. The goal of this research is by combining Blockchain technology with IoT to develop a smart health supply chain management system. This approach provides security, privacy, trust, visibility, decentralized tracking and tracing of the medical product, avoids counterfeit drugs, avoids the damage to medical components, authentication, reduces the cost, and provides the status of the products during the shipment process between manufacturers to end-user. In this approach, we conduct a series of experiments on a different group of users. The experimental results show that compare to existing approaches our proposed NAIBHSC approach gives better response time that is the average Transaction Per Second (TPS) for a group of 500 users is 100 milliseconds, reduces the latency time that is average latency time for 500 users group has 403 milliseconds, and improves the overall performance of the smart health supply chain management system.
- 24 February 2023
- Published by Springer Nature
- p. 587-600
Decentralization of Car Insurance System Using Machine Learning and Distributed Ledger Technology
- 24 February 2023
- Published by Springer Nature
- p. 587-600
Decentralization of Car Insurance System Using Machine Learning and Distributed Ledger Technology
- 2 December 2022
- Published by Springer Nature
- p. 45-59
A Pragmatic Analysis of Security Concerns in Cloud, Fog, and Edge Environment
- 2 December 2022
- Published by Springer Nature
- p. 45-59
A Pragmatic Analysis of Security Concerns in Cloud, Fog, and Edge Environment
- 8 November 2022
- Published by Springer Nature
- p. 545-553
An Improved Static Technique for Placement of Anchor Nodes to Enhance the Localization in IoT
- 8 November 2022
- Published by Springer Nature
- p. 545-553
An Improved Static Technique for Placement of Anchor Nodes to Enhance the Localization in IoT
- 23 April 2022
- Published by Springer Nature
- p. 237-247
Automating Vehicle Insurance Process Using Smart Contract and Ethereum
- 23 April 2022
- Published by Springer Nature
- p. 237-247
Automating Vehicle Insurance Process Using Smart Contract and Ethereum
- 7 April 2021
- Published by Springer Nature in Wireless Personal Communications
- Vol. 127 (1) , 695-714
Follower Link Prediction Using the XGBoost Classification Model with Multiple Graph Features
- 7 April 2021
- Published by Springer Nature in Wireless Personal Communications
- Vol. 127 (1) , 695-714
Follower Link Prediction Using the XGBoost Classification Model with Multiple Graph Features
- 18 August 2019
- Published by Springer Nature
- p. 583-594
A Non-linear Approach for Classifying Malignant Neoplasm Using Dualist Optimization Algorithm
- 18 August 2019
- Published by Springer Nature
- p. 583-594
A Non-linear Approach for Classifying Malignant Neoplasm Using Dualist Optimization Algorithm
- 26 August 2014
- Published by Springer Nature
- p. 73-84
A Multi-objective Cat Swarm Optimization Algorithm for Workflow Scheduling in Cloud Computing Environment
- 26 August 2014
- Published by Springer Nature
- p. 73-84
A Multi-objective Cat Swarm Optimization Algorithm for Workflow Scheduling in Cloud Computing Environment
- 26 August 2014
- Published by Springer Nature
- p. 379-383
Medical Image Thresholding Using Particle Swarm Optimization
- 26 August 2014
- Published by Springer Nature
- p. 379-383
Medical Image Thresholding Using Particle Swarm Optimization