Tarun Rao Keshabhoina

Papers

Total Citations

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About

Tarun Rao Keshabhoina is a researcher specializing in wireless communications, cybersecurity, and multi-agent systems, with a focus on securing low-power networks against unauthorized access. His most notable work, "Data-Driven Classification of Low-Power Communication Signals by an Unauthenticated Agent Using a Software-Defined Radio" (2023), addresses a critical vulnerability in distributed robotic networks: the risk of eavesdropping on intermittent state and control signals transmitted over unlicensed spectrum. By demonstrating how an unauthenticated agent can classify these signals using software-defined radio and machine learning, Keshabhoina exposes the fragility of such systems and underscores the need for robust countermeasures. This research, which has garnered early citations, contributes to the broader field of signal intelligence and network security, offering a data-driven framework for both threat detection and defense. His work is particularly relevant for applications in autonomous swarms, IoT, and industrial control systems, where low-power communication is ubiquitous. Keshabhoina’s findings serve as a cautionary blueprint for engineers designing secure, resilient multi-agent networks, positioning him as a rising voice in the intersection of wireless security and distributed intelligence.