Context-Based Content Simulation for IoT Spam Filtering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current spam filtering systems lack comprehensive methods to effectively filter unwanted or malicious content, particularly on IoT devices, as they often rely on user discretion and traditional techniques that are not sufficient to validate content before transmission.
Innovation Solution
A computer-implemented method that uses context-based simulation to determine the validity of received content, assigning risk scores, and altering or blocking content based on user profiles, incorporating real-time internet searches and machine learning algorithms to classify and manage content before it is displayed to users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional spam filtering techniques are used, then device complexity is reduced, but content validation effectiveness deteriorates
Solution Approach 1:
The system performs preliminary simulation of content execution in a virtualized environment before allowing actual content to reach the user. This advance validation detects malicious behavior patterns without exposing the real system to potential threats, resolving the contradiction by establishing reliable content validation through preparatory testing.
Solution Approach 2:
A virtualized sandbox environment acts as an intermediary between incoming content and the user's device. This isolated simulation environment enables comprehensive content validation while maintaining device security, effectively mediating between the need for thorough validation and the requirement to protect the actual system.
2Reliability
If comprehensive content validation is performed, then user safety is improved, but processing time increases
Solution Approach 1:
The system applies partial validation by simulating only critical code paths and high-risk operations within the content, rather than executing entire content sets. This selective simulation approach maintains user safety by focusing on potentially malicious segments while reducing overall processing time through targeted analysis.
Solution Approach 2:
Content validation is performed periodically at key stages (upon receipt, before transmission to user) rather than continuously monitoring all content operations. This periodic validation rhythm ensures user safety at critical decision points while minimizing time loss by avoiding constant verification of every content operation.
Data Source
AI summary
Embodiments of the present invention provide methods, computer program products, and systems. Embodiments of the present invention can in response to receiving content, dynamically determining validity of received content. Embodiments of the present invention can then, in response to an determining the validity of received content, altering the received content prior to transmitting the received content to a user.


