Brajendra Panda
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
Also affiliated: Jordan University of Science and Technology (2016); Alabama Agricultural and Mechanical University (1995–2002); University of North Dakota (1998–2002); Virginia College (1994); GD Goenka University (2018); Arak University (2007); Texas A&M University (1995)
Faculty Researcher
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Brajendra Panda's research focuses on developing secure and efficient systems for data management and protection, particularly within cloud and fog computing environments. His work addresses critical issues such as data integrity preservation, protection against malicious nodes, and damage assessment in distributed systems. Panda has investigated novel encryption models and blockchain-based solutions to enhance security in smart healthcare systems and outsourced databases. His recent publications also explore real-time fraud detection in health insurance using artificial intelligence and value embedding approaches for access control.
Panda collaborates with faculty members at the University of Arkansas at Fayetteville, including Thanh Duc Bui, Mariha Siddika Ahmad, Shruthi Ramakrishnan, and N. J. Buchanan. His scholarly contributions are reflected in an h-index of 18, with over 148 publications and 1,222 citations. He remains an active researcher, with recent publications in 2023, 2024, and 2025.
Metrics
- h-index: 18
- Publications: 151
- Citations: 1,267
Selected Publications
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Safeguarding Critical Data in High-Volume Transaction Processing Cloud Services (2026)
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Word-embedding approach for unknown attributes in access control model (2025)
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A Secure Transaction Execution Model for Maintaining the Integrity of Fog-Based Databases (2025)
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Word-embedding Approach for Unknown Attributes in Access Control Model (2025)
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Value Embedding Approach for Access Control (2025)
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Accelerating Cloud Database Recovery for Providing Real-Time Service After a Cyberattack (2025)
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ClusteredLog: Optimizing Log Structures for Efficient Data Recovery and Integrity Management in Database Systems (2024)
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Damage Assessment in Fog Computing Systems: A Blind Write Lineage Approach (2024)
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A Multi-Model Rouge Nodes Detection System for Fog Computing (2023)
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Assessing Damage and Recovery of Critical Data in Unsecure Cloud Systems (2023)
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Optimized Damage Assessment in Large Datasets in Cloud (2022)
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A Novel Blockchain-Based Encryption Model to Protect Fog Nodes from Behaviors of Malicious Nodes (2021)
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Data Integrity Preservation Schemes in Smart Healthcare Systems That Use Fog Computing Distribution (2021)
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An Efficient Secure System for Fetching Data From the Outsourced Encrypted Databases (2021)
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A Blockchain-Encryption-Based Approach to Protect Fog Federations from\n Rogue Nodes (2020)
Collaboration Network
Top Collaborators
- Value Embedding Approach for Access Control
- A Multi-Model Rouge Nodes Detection System for Fog Computing
- Word-embedding Approach for Unknown Attributes in Access Control Model
- Word-embedding approach for unknown attributes in access control model
- An Efficient Secure System for Fetching Data From the Outsourced Encrypted Databases
- Data Integrity Preservation Schemes in Smart Healthcare Systems That Use Fog Computing Distribution
- A Novel Blockchain-Based Encryption Model to Protect Fog Nodes from Behaviors of Malicious Nodes
- An Efficient Secure System for Fetching Data From the Outsourced Encrypted Databases
- Data Integrity Preservation Schemes in Smart Healthcare Systems That Use Fog Computing Distribution
- A Novel Blockchain-Based Encryption Model to Protect Fog Nodes from Behaviors of Malicious Nodes
- An Efficient Secure System for Fetching Data From the Outsourced Encrypted Databases
- Data Integrity Preservation Schemes in Smart Healthcare Systems That Use Fog Computing Distribution
- A Novel Blockchain-Based Encryption Model to Protect Fog Nodes from Behaviors of Malicious Nodes
- Damage Assessment in Fog Computing Systems: A Blind Write Lineage Approach
- ClusteredLog: Optimizing Log Structures for Efficient Data Recovery and Integrity Management in Database Systems
- A Novel Blockchain-Based Encryption Model to Protect Fog Nodes from Behaviors of Malicious Nodes
- A Novel Blockchain-Based Encryption Model to Protect Fog Nodes from Behaviors of Malicious Nodes
- A Novel Blockchain-Based Encryption Model to Protect Fog Nodes from Behaviors of Malicious Nodes
- Optimized Damage Assessment in Large Datasets in Cloud
- Assessing Damage and Recovery of Critical Data in Unsecure Cloud Systems
- A Secure Transaction Execution Model for Maintaining the Integrity of Fog-Based Databases
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