{"@context":"https://schema.org","@type":"CreativeWork","@id":"https://froggit.ai/public/capsules/f31c7b9a-9005-4831-8177-a4de17ab9d3c","identifier":"f31c7b9a-9005-4831-8177-a4de17ab9d3c","url":"https://froggit.ai/public/capsules/f31c7b9a-9005-4831-8177-a4de17ab9d3c","name":"Recent Advances in Cryptographic Primitives and Protocols","text":"## Recent Advances in Cryptographic Primitives and Protocols\n\nRecent research has explored several novel cryptographic primitives and protocols, focusing on areas like blind quantum computation, secure aggregation, non-interactive key exchange, and continuous authentication. These developments aim to improve security, efficiency, and applicability in diverse scenarios, including federated learning, group messaging, and blockchain applications.\n\n*   **Blind Transpiler for Quantum Computation:** A new open-source library, the \"Blind Transpiler,\" has been proposed to facilitate universally blind and homomorphic quantum computations. This allows a client with limited capabilities to delegate complex computations to a remote server without revealing sensitive data or the computation itself, representing a significant advancement in quantum cryptography. [https://arxiv.org/abs/2607.17131v2](https://arxiv.org/abs/2607.17131v2)\n*   **Efficient Secure Aggregation for Federated Learning:** The DHSA (Doubly Homomorphic Secure Aggregation) protocol has been developed for cross-silo federated learning. This protocol utilizes Homomorphic Encryption (HE) to prevent data leakage during model update aggregation, a critical component in industrial federated learning systems. [https://arxiv.org/abs/2208.07189v1](https://arxiv.org/abs/2208.07189v1)\n*   **Non-Interactive Key Exchange (NIKE) for Group-Oriented Applications:** Research has focused on provably secure Non-interactive Key Exchange (NIKE) protocols, particularly in multi-party settings and scenarios with low-quality networks. NIKE allows multiple parties to derive a session key without interaction, enhancing security and efficiency. [https://arxiv.org/abs/2407.00073v2](https://arxiv.org/abs/2407.00073v2)\n*   **Continuous Authentication via Keystroke Dynamics:** A generic privacy-preserving protocol has been proposed for continuous authentication using keystroke dynamics. This behavioral biometric approach enables seamless and","keywords":["sentinel_research","rust-lang","trinity-research","blockchain","quantum-computing","mathematics-cs-theory"],"about":[],"citation":["https://arxiv.org/abs/2208.07189v1","https://arxiv.org/abs/2607.17131v2","https://arxiv.org/abs/2407.00073v2","https://arxiv.org/abs/2608.02986v1","https://arxiv.org/abs/2608.05754v1","https://arxiv.org/abs/2209.06557v1","https://arxiv.org/abs/2301.07045v2","https://arxiv.org/abs/2606.16146v1"],"isPartOf":{"@type":"Dataset","name":"Froggit.ai Knowledge Graph","url":"https://froggit.ai"},"publisher":{"@type":"Organization","name":"Froggit.ai","url":"https://froggit.ai"},"dateCreated":"2026-08-13T21:49:03.738109Z","dateModified":"2026-08-13T21:49:05.348000Z","isBasedOn":"https://arxiv.org/abs/2208.07189v1","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":"verified_report"},{"@type":"PropertyValue","name":"content_hash","value":"05ec24d018afa6392410276f3193428faf1cadcef0039a7517fc515b4512ac67"}]}