Intelligent Communication Screening for Spam Restriction
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Solution Overview
Problem
Current communication screening methods rely on entity knowledge to differentiate between spammers and non-spammers, are reactive rather than proactive, and are ineffective against smaller-scale spamming campaigns, as they require manual configuration and blacklisting, which can be burdensome and inaccurate.
Innovation Solution
An intelligent communication screening system that automatically identifies spammers by leveraging an extensive entity database to classify contacting entities as spammers, potential spammers, or non-spammers based on credibility scores and other verified information, allowing entities to configure responses to these classifications without manual blacklisting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual blacklisting and personalized calling profiles are used, then spam restriction capability is improved, but device complexity and ease of operation deteriorate due to significant configuration burden on each contacted entity
Solution Approach 1:
The system performs automatic spammer identification and blacklisting without requiring user configuration. The entity database autonomously evaluates contacting entities using credibility scores and verified information, then automatically updates blacklists, eliminating the need for users to manually identify and block spammers
Solution Approach 2:
An intermediary system with extensive entity database acts as a mediator between contacting entities and contacted entities. This intermediary automatically screens communications by evaluating credibility scores and verified information from the entity database, relieving users of the configuration burden while maintaining effective spam restriction
2Reliability
If reactive blacklisting after spammer identification is used, then spam restriction capability is improved, but loss of time increases due to delayed prevention until after initial contact
Solution Approach 1:
The system performs preliminary action by pre-configuring automatic spammer identification and blacklisting mechanisms before spam contacts occur. The entity database maintains pre-evaluated credibility scores and verified information on contacting entities, enabling immediate automatic blocking of spammers without waiting for user identification or initial contact
3Measurement precision
If entity knowledge-based spam differentiation is used, then measurement precision of spam identification is improved, but device complexity increases due to reliance on manual entity configuration and updates
Solution Approach 1:
The entity database autonomously performs spam identification using credibility scores and verified information without requiring manual entity configuration. The system automatically evaluates contacting entities, updates blacklists, and maintains accurate spam identification through self-updating databases rather than manual user input
Solution Approach 2:
An intermediary entity database serves as a knowledge repository that stores pre-verified information and credibility scores on contacting entities. This intermediary provides accurate spam identification through automated database queries rather than requiring complex manual configuration and updates by users
Data Source
AI summary
A system is provided to restrict the ability of a spammer to freely contact an entity over a communication channel. To do so, the system reconfigures a communication channel used to contact the target entity such that the system can intercept a communication from a source contacting entity en route to the target entity. The system extracts an identifier (e.g., contacting entity's telephone number) from the communication and uses the identifier to query a database storing information about the contacting entity. The information reveals the contacting entity's industry, occupation, credibility, etc. From this information, the system automatically identifies the contacting entity as a spammer, potential spammer, or non-spammer. The system performs a default screening of the communication based on the classification. Alternatively, the target contacted entity can specify a configuration for different actions the system takes to screen the communication based on the source contacting entity classification.