Cryptography and Data Security

Cryptography and data security research investigates how to protect information not just during storage and transmission, but while it is actively being processed and shared — a challenge that becomes increasingly urgent as computation moves to untrusted cloud environments and sensitive data is pooled across institutions. Techniques like homomorphic encryption allow computations to be performed directly on encrypted data without ever decrypting it, while frameworks such as secure multi-party computation let multiple parties jointly analyze their combined data without any single party seeing the others' inputs. Much of the current work centers on making these methods practical: lattice-based schemes, for instance, are being refined both for their resistance to quantum attacks and for reducing the substantial computational overhead that has historically made privacy-preserving computation too slow for real applications. Open questions include how to compose these primitives efficiently with machine learning pipelines and how to formally verify that complex, layered protocols leak nothing beyond what they are designed to reveal.

Works

84,135

Total citations

1,546,644

Keywords

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