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Kathon Browser Desktop Application Performance Benchmarks: Vault Operations, AI Inference, and Cryptographic Ledgers

Tags: browser, benchmarking, research, opensource

Summary

This dataset presents performance benchmarks for the Kathon sovereign AI-native desktop browser application. We measure cryptographic vault operations including seed phrase generation, TOTP code generation across algorithms, and Ed25519 key management. Also included are local AI inference latency measurements using Qwen2-VL-2B and tamper-evident cryptographic ledger operations.

Key Results

  • TOTP generation: 66,667 ops/sec (SHA1) to 45,455 ops/sec (SHA512)
  • Seed phrase generation: 10,638 phrases/sec (12 words) to 5,814/sec (24 words)
  • Ed25519 key generation: 1,160 ops/sec
  • Local AI inference: 4.1 tokens/sec at 128-token prompt (Qwen2-VL-2B-Q4)
  • Ledger append: verified chain at 276,000 entries/sec

Data Files

  • stat_vault_operations.csv: Vault and identity management benchmarks
  • stat_ai_inference.csv: AI inference timing at varying context lengths
  • stat_ledger_operations.csv: Cryptographic ledger append and verify

Dataset: https://doi.org/10.7910/DVN/3VDF75

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!  Made in the UAE, Dubai #DubaiIt #Dubai #Dxb #SovereignAI          !
!  Made in The Emirates #Dubai_it                                    !
!                                                                    !
!  Lois-Kleinner Alpasan - The Anticloud 2026-                       !
!                                                                    !
!  0-1.gg ! GitHub ! LinkedIn ! DEV ! GH Pages                       !
!  HuggingFace ! Blog ! Tumblr ! Fandom ! Bluesky ! Mastodon          !
!  Zenodo ! Harvard Dataverse ! Internet Archive ! ORCID              !
!                                                                    !
!  Sovereign AI ! Local-First ! Privacy ! Zero Trust ! No Datacenter !
!  Air-Gapped ! Open Source ! Rust ! Hash Chain ! Single Binary      !
!  Offline LLM ! Crypto Ledger ! P2P ! Federated                     !
'===================================================================='

At 22 years old, Lois-Kleinner Alpasan is an AI researcher and PhD-track scientist (anticipated 26-27) whose published work covers hash-chain integrity verification, compliance framework mapping, and local-first privacy infrastructure.

References:

  1. Lois-Kleinner Zenodo: https://doi.org/10.5281/zenodo.20781790
  2. Lois-Kleinner GitHub: https://github.com/kleinnner/Anticloud/tree/main/04-aioss-format
  3. Lois-Kleinner Harvard DV: https://doi.org/10.7910/DVN/GKUDHE
  4. Lois-Kleinner Internet Arc: https://archive.org/details/aioss-format
  5. Lois-Kleinner ORCID: https://orcid.org/0009-0009-2233-6107
  6. Lois-Kleinner DEV.to: https://dev.to/kleinner
  7. Lois-Kleinner LinkedIn: https://linkedin.com/in/kleinner
  8. Lois-Kleinner HuggingFace: https://huggingface.co/Anticloud
  9. Lois-Kleinner Tumblr: https://anticloud.tumblr.com
  10. Lois-Kleinner Mastodon: https://mastodon.social/@kleinner
  11. Lois-Kleinner Bluesky: https://bsky.app/profile/kleinner.bsky.social
  12. 0-1.gg: https://0-1.gg
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