Mobile networks are essential to modern life, but have raised serious privacy concerns as MNOs can track and profile users. 5G offers some protection through temporary identifiers, but MNO databases still allow tracking. This project develops an anonymous mobile access architecture to disable tracking and profiling using anonymous identifiers. It supports essential network functions and lawful interception while giving users control over their privacy.

This project is supported by NSF Award #2247561.

Consensus protocol underpins the security of a blockchain system. It enables decentralized, mutually distrustful parties to agree on a unified transaction history without the help of a central authority. However, the idealism behind such consensus-based security is complicated by the less-decentralized reality of other system layers.

In the data-driven economy, both data owners (e.g., you and me) and data consumers (e.g., an app) have attributed great importance to the security and trustworthiness of data. In this direction, we take advantage of blockchain smart contract, trust computing, and other crypto techniques to build secure and privacy-respecting applications in an evolving adversarial landscape.

Modern vehicles rely on a fleet of electronic control units (ECUs), connected through automotive communication networks, for real-time subsystem control. These networks, however, are heavily criticized for little-to-none built-in security and susceptibility to intrusions and manipulation. In this research, we explore both prevention methods---including link-layer cryptographic protocols---and machine learning-based detection methods.

Spectrum is the single most important resource for wireless communication and sensing. This research aims to provide secure and efficient Dynamic Spectrum Sharing (DSS) mechanisms with minimal trust assumptions by leveraging blockchain and distributed ledger technology.