专题:Cryptography and Data Security

This cluster of papers covers advanced cryptographic schemes and protocols, including homomorphic encryption, identity-based encryption, attribute-based encryption, lattice-based cryptography, secure multi-party computation, searchable encryption, pairing-based cryptography, privacy-preserving computation, zero-knowledge proofs, and trapdoor functions.
最新文献
Lattice Access Agreement

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A Formal Analysis of Tangible Encryption: Non-Fungible Tokens as Persistent, Ownable Roots of Trust in Secrets Management Systems

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Zero-Knowledge Federated Learning: A New Trustworthy and Privacy-Preserving Distributed Learning Paradigm

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Dynamic and Conditional Identity-based Broadcast Proxy Re-encryption with Autonomous Paths

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Meeting SLO with Privacy: Partial Homomorphic Encryption Inference and Anomaly Gating for Predictive Autoscaling in Cloud Environments

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Formal Privacy Guarantee in Predictive Autoscaling by Differentially Private Federated Training

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Privacy-Preserving Hierarchical Federated Learning Over Data Spaces

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Behavior-Bound Signatures: Cryptographic Policy Enforcement from Zero-Knowledge Soundness

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Collaborative Batch Size Optimization for Federated Learning

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Post-Quantum Cryptography in Networking Protocols: Challenges, Solutions, and Future Directions

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近5年高被引文献
Federated Learning on Non-IID Data Silos: An Experimental Study

article Full Text OpenAlex 987 FWCI96.9684

A survey on federated learning: challenges and applications

article Full Text OpenAlex 712 FWCI85.507

Federated Learning for Smart Healthcare: A Survey

review Full Text OpenAlex 707 FWCI90.4042

New Directions in Cryptography

book-chapter Full Text OpenAlex 648 FWCI89.4178

Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges

article Full Text OpenAlex 476 FWCI79.8226

Privacy and Robustness in Federated Learning: Attacks and Defenses

article Full Text OpenAlex 448 FWCI54.0068

Recent Advances on Federated Learning for Cybersecurity and Cybersecurity for Federated Learning for Internet of Things

article Full Text OpenAlex 440 FWCI58.1588

Membership Inference Attacks From First Principles

article Full Text OpenAlex 379 FWCI35.9656

Differential Privacy for Deep and Federated Learning: A Survey

article Full Text OpenAlex 377 FWCI48.0261

Privacy‐preserving federated learning based on multi‐key homomorphic encryption

article Full Text OpenAlex 373 FWCI47.7507