Travis Mayberry

Travis Mayberry is an Assistant Professor in the Cyber Security department at the United States Naval Academy. His research focuses on cryptographic protocols, cloud security, privacy-preserving technologies, homomorphic encryption, and secure voting systems. He holds a PhD in Computer Science from Northeastern University, with a dissertation on practical Oblivious RAM (ORAM) protocols for private data outsourcing. He also contributed to the Scantegrity project at the University of Maryland, Baltimore County, developing end-to-end verifiable voting systems.

Key areas of research include privacy in mobile devices, secure communication protocols, and cryptographic mechanisms for data protection. His work has been published in top venues like Privacy Enhancing Technologies Symposium (PETS), Network and Distributed Systems Security Symposium (NDSS), and ACM Computer and Communications Security (CCS). He received a Distinguished Paper Award in 2014 for his research on combining ORAM and PIR for efficient private file retrieval.

Mayberry’s publications analyze vulnerabilities in Bluetooth Low Energy protocols, TLS client authentication tracking, and MAC address randomization in mobile devices. He has collaborated extensively on secure voting systems (e.g., Scantegrity) and practical ORAM implementations like ObliviSync and rORAM. His contributions bridge theoretical cryptography with real-world applications in privacy and security.