Centralized Spam Data Repository for Carrier Network Filtering
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Solution Overview
Problem
Current telecommunications systems lack an efficient method to evaluate and manage unwanted text messages reported through dedicated short codes like 7726, as the data is not shared among carriers, leading to inadequate filtering and blocking of spam messages.
Innovation Solution
A non-carrier specific aggregated SPAM data repository is established to collect and analyze reports from multiple carriers, allowing for the identification of threat levels and implementation of preventative and remedial actions, such as filtering or blocking, based on flagging criteria, with the severity of actions correlated to the threat level and periodically adjusted.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If spam reporting data is collected and aggregated at a Carrier network level and provided to an intercarrier vendor, then decisions about treatment of originating numbers can be made, but the data is not shared among carriers, leading to inadequate filtering and blocking of spam messages
Solution Approach 1:
The patent merges spam reporting data from multiple carriers into a centralized repository, combining previously siloed data sources. This allows all carriers to access and act on aggregated spam information, significantly improving filtering effectiveness while eliminating the information loss caused by data isolation.
Solution Approach 2:
The centralized repository serves multiple carriers simultaneously, providing a universal data sharing platform. The same aggregated data benefits all participating carriers, enabling each to improve their spam filtering without maintaining separate data collection systems.
2Productivity
If a threshold number of 7726 messages are received that reference the same originating number, calls from this number may be blocked, but the severity of action is not periodically adjusted based on newly received reports
Solution Approach 1:
The patent implements dynamic adjustment of blocking severity based on continuously incoming reports. The system transitions from static threshold-based blocking to dynamic monitoring where the duration and severity of blocking actions are periodically reassessed and adjusted based on new spam report data, optimizing both efficiency and fairness.
Solution Approach 2:
The system incorporates feedback loops where newly received spam reports continuously inform the adjustment of blocking decisions. The monitoring duration and action severity are modified based on feedback from ongoing spam reporting patterns, allowing the system to adapt to changing spam behaviors while maintaining productive filtering.
Data Source
AI summary
Some embodiments of the present inventive concept provide methods for processing unwanted text messages based on reporting of sending telephone in a telecommunications system. The method includes retrieving aggregated data associated with sending telephone numbers from a central repository accessible by a plurality of Carriers. The retrieved aggregated data is analyzed to identify sending telephone numbers that satisfy flagging criteria. The flagging criteria indicates a threat level associated with text messages sent from corresponding telephone numbers. Preventative and/or remedial action is implemented for each telephone number identified as satisfying flagging criteria. A severity of the preventative and/or remedial action is directly correlated with the threat level associated with the flagging criteria. Each of these sending telephone numbers is actively monitored. The severity of the preventative and/or remedial action is increased and/or decreased for each actively monitored sending telephone number periodically based on newly received reports.