P. Anjaiah
Papers
1
Total Citations
2
H-Index
1
About
P. Anjaiah is a researcher whose work centers on the intersection of cybersecurity, cloud computing, and robotics, with a particular focus on developing encryption models for secure data access. Their most cited paper, "An efficient hybrid fuzzy image encryption models for the secured cloud accessing in portable robotics devices" (2023), has garnered 2 citations, reflecting an emerging interest in lightweight, adaptive security solutions for resource-constrained robotic systems. This work proposes a hybrid fuzzy approach to image encryption, aiming to balance computational efficiency with robust protection in cloud-connected portable devices. While the paper has been retracted, it nonetheless signals Anjaiah's engagement with pressing challenges in IoT security and data privacy. Their research contributes to the growing need for encryption frameworks that can operate effectively in real-time, mobile environments—a critical area as robotics and cloud services become increasingly intertwined. Anjaiah’s efforts highlight the complexities of securing sensitive visual data in autonomous systems, offering a foundation for future work in adaptive, fuzzy-logic-based cryptographic methods.
Research Focus
Key Achievements
Top Papers
- 1