Devcon Archive logo
Devcon Devconnect Forum Blog
  • Watch
  • Event
    Event: background logo
    • Devcon 7
    • Devcon 6
    • Devcon 5
    • Devcon 4
    • Devcon 3
    • Devcon 2
    • Devcon 1
    • Devcon 0
    • Devconnect ARG
  • Categories
    Categories: background logo
    • Cryptoeconomics
    • Devcon
    • Developer Experience
    • Coordination
    • Core Protocol
    • Layer 2s
    • Real World Ethereum
    • Cypherpunk & Privacy
    • Security
    • Applied Cryptography
    • Usability
  • Playlists

Suggested

Loading results..

View all

About Devcon —

Devcon is the Ethereum conference for developers, researchers, thinkers, and makers.

An intensive introduction for new Ethereum explorers, a global family reunion for those already a part of our ecosystem, and a source of energy and creativity for all.

  • Watch
  • Devcon
  • Devconnect
  • Forum
  • Blog

Get in touch

devcon@ethereum.org

Subscribe to our newsletter

Crafted with passion ❤️ at the Ethereum Foundation

© 2026 — Ethereum Foundation. All Rights Reserved.

devcon8 / stop re investigating the same wallet a shared evidence layer for on chain crime

  • YouTube
Stop Re-Investigating the Same Wallet: A Shared Evidence Layer for On-Chain Crime preview
  • Details

Stop Re-Investigating the Same Wallet: A Shared Evidence Layer for On-Chain Crime

Duration: NaN:NaN:NaN

Speaker: Dmytro Matviiv

Type: Lightning Talk

Expertise: Some familiarity with the topic

Event: Devcon

Date: Nov 2026

Forensics for on-chain crime still runs on manual correlation: you have a wallet, a domain and a file hash, and no way to check whether any of them already appeared in someone else's case. In five minutes I'll share the one design choice that mattered most when we built a shared evidence layer: keeping raw artefacts separate from published intelligence, so pooling evidence doesn't quietly create a surveillance dataset. Then how AI scoring routes each submission to auto-approve, human review, or reject — and how we defend against reputation-farming. Takeaway: a reusable pattern for pooling forensic evidence without poisoning it, plus honest numbers on what the AI layer still gets wrong.

Categories

SecurityCensorship ResistanceOpSecReal World