Detecting unwanted electronic mail messages based on probabilistic analysis of referenced resources
US7836133B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 5, 2006 |
| Grant date | Nov 16, 2010 |
| Priority date | — |
| Expiry date | Nov 2, 2026 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L61/4511
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
In one embodiment, detecting unwanted electronic mail messages based on probabilistic analysis of referenced resources comprises receiving a whitelist and a blocklist each having a plurality of network resource identifiers that have appeared in prior messages; retrieving a particular network resource identifier; generating a list of properties for the particular network resource identifier; training a probabilistic filter using the properties; and repeating the retrieving, generating and training for all the network resource identifiers in the whitelist and blocklist. Thereafter, when an electronic mail message is received and contains a URL or other network resource identifier, a spam score or threat score can be generated for the message by testing properties of the network resource identifier using the trained probabilistic filter.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.