Transmission Guard Bots for Real-Time Spam Detection
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Solution Overview
Problem
Existing computing devices lack optimized spam prevention technologies to effectively detect and filter suspicious interactions, leading to potential security risks and unauthorized access to user information.
Innovation Solution
Implementing a trained transmission guard bot with communication capabilities to monitor and analyze communication sessions, detect suspicious content, and invoke specialized bots for spam prevention actions based on a risk assessment metric.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional spam filtering methods are used, then basic spam detection is provided, but detection precision and response effectiveness are insufficient against sophisticated spam techniques
Solution Approach 1:
The patent introduces AI-powered intermediary components including a spam detection engine with machine learning models, a natural language processing module, and a coordination system that acts as intermediaries between incoming communications and users. These intermediaries analyze communication content, detect suspicious patterns, and filter spam before reaching users, thereby improving detection precision while maintaining security reliability through multiple layers of intelligent analysis
2Measurement precision
If advanced AI-powered detection systems are implemented, then spam detection precision is improved, but system complexity increases
Solution Approach 1:
The patent segments the spam prevention system into distinct functional modules: a spam detection engine with specialized AI models, a natural language processing module, a risk assessment module, and a coordination system. Each module performs a specific function (content analysis, pattern recognition, risk scoring, communication management), allowing the complex AI-powered detection to be implemented through organized, manageable components rather than a monolithic system
Solution Approach 2:
The coordination system serves as an intermediary that manages the complex AI components, routing communications appropriately, integrating results from multiple detection modules, and presenting unified outcomes to users. This intermediary layer simplifies the user interface and system management while enabling sophisticated detection capabilities behind the scenes
3Speed
If real-time monitoring of communication sessions is performed, then response time to suspicious content is reduced, but computational resource consumption increases
Solution Approach 1:
The patent implements partial monitoring by applying AI-powered analysis selectively rather than to all communications uniformly. The system uses initial filtering to identify potentially suspicious communications, then applies more intensive real-time monitoring and resource-consuming AI analysis only to those flagged cases. This approach maintains fast response times for detecting suspicious content while reducing overall computational energy consumption by avoiding exhaustive analysis of all communications
Data Source
AI summary
In some embodiments, the present disclosure provides an exemplary method that may include steps of receiving a notification to engage a transmission guard bot in a communication session; generating a trained transmission guard bot configured with communication capabilities to engage the communication session; engaging the trained transmission guard bot into the communication session between the plurality of computing devices associated with the plurality of users; utilizing the trained transmission guard bot to continually monitor a plurality of content data associated with the communication session for a predetermined period of time; detecting a suspicious content data point within the plurality of content data associated with the communication session based on the continual monitoring of the at least one transmission guard bot; determining a risk assessment metric associated with the communication session; and invoking an action related to spam prevention via the at least one trained transmission guard bot.