Cryptography and Data Security

Cryptography and data security research investigates how information can be protected, shared, and computed upon without exposing it to unauthorized parties—even when those parties are doing the computing itself. Techniques like homomorphic encryption allow calculations to run directly on encrypted data, while attribute-based and identity-based encryption let access to information be tied to who someone is or what role they hold, rather than to a physical key. Much of the current work centers on making these schemes practical: lattice-based constructions are being refined to resist quantum attacks, and secure multi-party computation protocols are being pushed toward the efficiency needed for real deployment. Open questions remain around reducing the computational overhead of privacy-preserving computation and building cryptographic systems that remain secure as machine learning models increasingly sit between data and decisions.

Works

82,948

Total citations

1,536,145

Keywords

Homomorphic EncryptionIdentity-Based EncryptionAttribute-Based EncryptionLattice-based CryptographySecure Multi-party ComputationSearchable Encryption