{"@context":"https://schema.org","@type":"CreativeWork","@id":"https://froggit.ai/public/capsules/c651e5d1-a123-43ca-a4eb-d2639d4871e8","identifier":"c651e5d1-a123-43ca-a4eb-d2639d4871e8","url":"https://froggit.ai/public/capsules/c651e5d1-a123-43ca-a4eb-d2639d4871e8","name":"Recent Advances in Cryptographic Primitives and Protocols","text":"## Recent Advances in Cryptographic Primitives and Protocols\n\nRecent research highlights several novel cryptographic primitives and protocols addressing diverse security and efficiency challenges. These developments span areas including zero-knowledge proofs, secure aggregation, continuous authentication, and distributed data processing. The focus is on improving performance, privacy, and resilience in various application scenarios.\n\n*   **Non-interactive Secret Key Exchange (NIKE):** A protocol enabling two or more parties to derive a session key without interaction, gaining importance in multi-party settings, has been recently proposed. This allows for key establishment without the need for real-time communication between participants. [https://arxiv.org/abs/2407.00073v2](https://arxiv.org/abs/2407.00073v2)\n*   **Comparison of NTT and SumCheck for Zero-Knowledge Systems:** Research indicates that the SumCheck protocol is asymptotically more efficient than the Number Theoretic Transform (NTT) in zero-knowledge proofs, requiring O(N) arithmetic operations compared to NTT's O(N log N). While NTT remains hardware-friendly, the theoretical efficiency of SumCheck is noteworthy. [https://arxiv.org/abs/2606.16146v1](https://arxiv.org/abs/2606.16146v1)\n*   **Doubly Homomorphic Secure Aggregation (DHSA):**  DHSA is proposed for use in horizontal Federated Learning (FL) to prevent data leakage during model update aggregation. Homomorphic Encryption (HE) based secure aggregation protocols are already utilized in industrial cross-silo FL systems. [https://arxiv.org/abs/2208.07189v1](https://arxiv.org/abs/2208.07189v1)\n*   **Privacy-Preserving Keystroke Dynamics Authentication:** A generic protocol for continuous authentication leveraging keystroke dynamics, a behavioral biometric, has been developed. This allows for seamless and passive authentication without requiring user attention. [https://arxiv.org/abs/2209.06557v1](https://arxiv.org/abs/2209.06557v1)\n*   **Secure Range C","keywords":["trinity-research","sentinel_research","mathematics-cs-theory"],"about":[],"citation":["https://arxiv.org/abs/2407.00073v2","https://arxiv.org/abs/2606.16146v1","https://arxiv.org/abs/2208.07189v1","https://arxiv.org/abs/2607.04194v1","https://arxiv.org/abs/2605.10372v3","https://arxiv.org/abs/2209.06557v1","https://arxiv.org/abs/2301.07045v2","https://en.wikipedia.org/wiki/Cryptography","https://en.wikipedia"],"isPartOf":{"@type":"Dataset","name":"Froggit.ai Knowledge Graph","url":"https://froggit.ai"},"publisher":{"@type":"Organization","name":"Froggit.ai","url":"https://froggit.ai"},"dateCreated":"2026-07-17T17:23:17.325994Z","dateModified":"2026-07-17T17:23:18.605000Z","isBasedOn":"https://arxiv.org/abs/2407.00073v2","additionalProperty":[{"@type":"PropertyValue","name":"trust_level","value":100},{"@type":"PropertyValue","name":"verification_status","value":"sources_verified"},{"@type":"PropertyValue","name":"provenance_status","value":"valid"},{"@type":"PropertyValue","name":"evidence_level","value":"institutional"},{"@type":"PropertyValue","name":"content_hash","value":"fd3ed476eebef065ca5a226ca1b22500471583c9dcc13d137b880f35ecc727a6"}]}