Subodh Chavhan

Papers

Total Citations

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About

Subodh Chavhan’s research sits at the intersection of cloud robotics, cybersecurity, and intelligent systems, with a particular focus on securing autonomous robotic operations in cloud environments. His most cited work, “Secured Map Building using Elliptic Curve Integrated Encryption Scheme and Kerberos for Cloud-based Robots” (2020), addresses a critical vulnerability in cloud-connected robots: how to securely transmit and build environmental maps without exposing sensitive data to interception or tampering. By integrating elliptic curve cryptography with the Kerberos authentication protocol, Chavhan proposed a lightweight yet robust framework that enables robots to offload computationally intensive mapping tasks to the cloud while maintaining end-to-end security. This contribution is especially significant as it balances the competing demands of real-time performance and strong encryption in resource-constrained robotic platforms. With 7 citations, this paper has already influenced subsequent work in secure cloud robotics architectures. Chavhan’s research is particularly relevant for students and engineers developing autonomous systems that rely on cloud resources, as it provides a practical blueprint for protecting data integrity and privacy in distributed robotic networks. His work continues to shape the conversation around trust and safety in next-generation intelligent systems.