EMPLOYING REPORT RATIOS FOR INTELLIGENT MOBILE MESSAGING CLASSIFICATION AND ANTI-SPAM DEFENSE
Patent №
US 8,924,488
Granted
2014-12-30
Filed 2010
Owner
AT&T INTELLECTUAL PROPERTY I, L.P.
Lab
—
AI components
3
kr · planning · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
12880945
Systems, methods, and devices that classify mobile messages and associated mobile message senders are presented. A communication network can comprise a message abuse detector component (MADC) that evaluates a mobile message, for example, labeled as abusive in an abuse report. The MADC can evaluate information relating to the abuse report, wherein the evaluations can include an abuse-report-hash-ratio, an abuse-report-sender-ratio, correlation of mobile message content to known spam content or non-spam content, and/or evaluation of reputation of the mobile message sender or abuse report sender, etc. Based at least in part on the evaluation, the MADC can classify mobile message as spam, subscription related, or as another type of mobile message, and can identify, select, and execute (e.g., automatically) a desired abuse management action(s) based at least in part on the evaluation and predefined message abuse criteria.
AI classification
Ownership
AT&T INTELLECTUAL PROPERTY I, L.P.
assignment · 249910813
Assignors
BOBOTEK, ALEXANDER
On an employer assignment, the assignors are typically the inventors.