Spatially separated provers answer synchronized challenges within light-speed time limits to block collusion and verify identity privately.
Stores hash values and hash-function IDs on blockchain to speed tamper verification across diverse data types.
Encrypted link signatures let single-tap app installs stay automatic while a verification server blocks malware and replay-based abuse.
Hardware-isolated TEE processing keeps personal information de-identified yet restorable under smart contract control while blocking leakage.
Encrypted credential broadcast from a gateway lets new WiFi access points self-configure through the cloud, reducing setup time and complexity.
A half-size canonical embedding matrix with iDFT/DFT cuts homomorphic ciphertext encoding and decoding complexity while preserving accuracy.
A monitoring layer extracts one-time public keys from hash-based signatures to detect key reuse and warn of security breaches.
Encrypted eCDF values and non-sensitive test points enable KS-based distribution matching without sharing raw data in federated learning.
Machine learning flags suspicious blockchain transactions, while guardian co-signing or one-time keys prevent false positives and fraud.
Stochastic resistive switching memory cells create unclonable validation codes to verify IC components and resist side-channel attacks.
A management server re-encrypts token-linked digital assets for authorized third-party edits while preserving confidentiality, integrity, and non-fungibility.
Aggregated Sum0 and Sum1 simplify post-ModRaise FHE key switching, cutting memory overhead and polynomial multiplications at runtime.
Category-based encryption and a homomorphic lookup table let data centers decode only needed vehicle sensor data, cutting processing load.
Parallel MakeHint hardware cuts decompose overhead, bitpacks non-zero hints, and lowers latency and resource use in lattice cryptography.
Cryptographic ownership vouchers separate temporary control from ownership transfer, securing endpoint onboarding for leased or loaned devices.
Two modular addition loops generate a Montgomery conversion parameter that supports large-value conversion with lower hardware complexity.
After a crash, onboard vehicle devices securely exchange identification and collision data with encryption keys and digital signatures.