Suhas Diggavi

Papers

Total Citations

269

H-Index

About

Suhas Diggavi is a prominent researcher whose work spans embedded systems security, distributed machine learning, and privacy-preserving networked systems. His research addresses some of the most pressing challenges at the intersection of intelligent networks, IoT security, and collaborative computing. Diggavi's groundbreaking work on Physical Challenge-Response Authentication (PyCRA), published in 2015 and accumulating 141 citations, tackled a critical vulnerability in embedded sensing systems used in life- and safety-critical environments such as aircraft, automobiles, and healthcare devices. By moving beyond traditional encryption-based defenses, he developed novel physical-layer authentication mechanisms that protect sensors themselves from integrity attacks — a contribution that has significantly influenced the embedded security community. His 2023 overview of communication-efficient distributed learning (114 citations) demonstrates his forward-looking vision for next-generation intelligent networks, where resource-constrained devices collaboratively train machine learning models without exposing raw data. This work has become an important reference for researchers navigating the challenges of federated and distributed AI systems. Rounding out his portfolio, Diggavi has also explored privacy protection for cloud-controlled multi-agent systems, underscoring his sustained commitment to securing the increasingly interconnected landscape of modern computing.