Bridging the Gap Between PHE and FHE: A Performance and Trade-off Analysis of The Somewhat Homomorphic BGN Cryptosystem
2026-08-03T07:23:25Z•8de86a889ea47906044c2d008c9ca7ea2395e8fbc6a22a59e7ef0a1e0b25cbe7
LLM securityRAG securitybiometric privacyblockchain securitycryptocurrency phishingcryptographydifferential privacyhomomorphic encryptionprivacy-preserving machine learningsecret sharingsemantic searchsmart contractstransaction simulationwallet securityzero-knowledge proofs
What happened
This arXiv feed contains new research spanning cryptography, privacy, blockchain security, secure machine learning, and biometric data protection. The most security-relevant item is transaction simulation phishing, which demonstrates smart-contract attacks that make wallet simulations appear benign while actual execution drains funds; the study reports over 4,000 contracts, 5,700 victims, and approximately $3.48 million in losses. Other items address homomorphic encryption, leakage-resilient secret sharing, privacy-preserving search and RAG, privacy-first local voice processing, biometric-data
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_cr
- Record identifier
- 8de86a889ea47906044c2d008c9ca7ea2395e8fbc6a22a59e7ef0a1e0b25cbe7
- Enrichment time
- 2026-08-03T07:23:25Z
- AI-assisted enrichment
- Yes
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