Prevent Phishing & Impersonation
summary
A concrete claim: a relationship based identity model replaces global profiles with a local-first address book that uses one-time numeric codes to derive a shared symmetric key per relationship. The team builds a working Backchannel prototype that sends encrypted messages via an untrusted relay, forces simultaneous online pairing with one‑minute codes, and finds it usable in tests with 12 journalists while noting a single relay point of failure, no key rotation, and tricky device revocation.
AI-written summary · about
chapters (43)
- 0:00Intro
- 0:26Phishing
- 1:00Social Engineering
- 1:17Four Steps
- 2:07What Organizations Do
- 2:25What If
- 2:42User Profiles
- 3:34Apple iMessage
- 4:37Namespaces
- 5:27Relationships
- 5:44Notion
- 6:59Recognition
- 8:07Resilient
- 9:15Secure
- 10:07Checkmark
- 10:25Keybase
- 12:03Blockchain
- 12:41Magic Wormhole
- 14:15Backchannel
- 15:04Codes
- 17:05Code Errors
- 18:14Naming
- 19:12New Mental Model
- 19:37Pet Name System
- 20:17Relays
- 22:17Linking Multiple Devices
- 23:29Auto Merge
- 24:05Device List
- 25:04tombstone message
- 25:39example demo
- 25:59overall findings
- 26:33comments
- 27:01location sharing
- 27:17rendering codes
- 27:45phone numbers
- 28:07nicknames
- 28:30test results
- 28:55new mental models
- 29:25known vulnerabilities
- 31:08whats next
- 32:11groups
- 33:14enterprise
- 34:14team
related talks
50mIdentity & Trust in Monitored Spaces
23mHow to overcome AI threat to user authenticity
22mComplementing Passkeys with Strong Identity Assurance for High-Risk Actions and Account Recovery
45mZero Knowledge; Meeting the Growing Demand for Security and Privacy
25mUnshackling Passkeys: Digital Strategies for Strong Identity Binding
16mInnovation in Authentication and More
21mProliferation of Authentication Methods
25mGreat Privacy Challenge for Reusable Identity
