AI-Based Data Diversion From Compromised Processing Components
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Solution Overview
Problem
Processing components configured to detect data transmission anomalies are difficult to identify when compromised, and data transmissions intended for these components need to be efficiently and securely diverted to valid components without breach.
Innovation Solution
A system utilizing an AI engine to detect anomalies in processing components based on CPU utilization and IP addresses, and a machine learning model to identify compromised data patterns, automatically diverting data transmissions to valid components and generating alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If processing components are used to detect data transmission anomalies, then security detection capability is improved, but difficulty in detecting compromised components increases
Solution Approach 1:
The patent introduces an intermediary validation system that acts as a mediator between data transmissions and processing components. This validation system checks the integrity and legitimacy of processing components before data is transmitted, thereby improving the ability to detect compromised components without reducing security detection capability. The intermediary layer provides an additional detection mechanism that identifies compromised components through validation failures.
Solution Approach 2:
The patent implements a feedback mechanism where the results of data transmission validation are used to update the system's understanding of component legitimacy. When a processing component fails validation or shows signs of compromise, this information is fed back into the system to improve future detection and routing decisions, thereby enhancing the difficulty of undetected compromise while maintaining security capabilities.
2Ease of operation
If data transmissions are manually routed to processing components, then routing control is improved, but system efficiency and automation decrease
Solution Approach 1:
The patent implements a self-service routing system where processing components and data transmissions automatically validate and route themselves without manual intervention. The system autonomously determines component legitimacy, validates data transmissions, and routes them appropriately based on validation results. This maintains routing control through automated decision-making while dramatically improving system efficiency and productivity.
Solution Approach 2:
The patent performs preliminary validation actions before data transmissions are fully processed. By pre-validating processing components and pre-checking data transmission legitimacy, the system establishes routing decisions in advance, eliminating the need for manual routing control while maintaining efficiency. The preliminary validation ensures that only legitimate components receive data, automating the routing control function.
3Reliability
If data transmissions are diverted from compromised components, then security is improved, but computing resource usage and network load increase
Solution Approach 1:
The patent performs preliminary validation of processing components before data transmissions are routed to them. By identifying and isolating compromised components in advance through validation checks, the system prevents unnecessary data transmission to compromised targets. This preliminary action reduces the need for extensive data diversion operations, thereby improving security while minimizing additional computing resource usage and network load.
Solution Approach 2:
The patent extracts or removes compromised processing components from the valid component list through validation failures. By taking out compromised components from the routing pool before data transmission occurs, the system prevents wasted resources on transmitting data to compromised targets. This extraction mechanism improves security by isolating threats while reducing the computational overhead of managing compromised components.
4Measurement precision
If validation checks are performed on processing components, then detection accuracy is improved, but processing time increases
Solution Approach 1:
The patent implements partial validation checks that verify critical legitimacy indicators without performing exhaustive analysis on every data transmission. By checking essential validation criteria (such as component registration status, basic integrity checks) rather than进行全面 analysis, the system maintains high detection accuracy for compromised components while minimizing the time penalty. The validation is sufficient to identify compromised components without requiring excessive processing time.
Data Source
AI summary
Systems, computer program products, and methods are described herein for automatically diverting data transmission from compromised processing components. The present invention is configured to identify a processing component associated with a data transmission; determine, by an artificial intelligence engine, whether an anomaly is present in the processing component based on identifying at least one of central processing unit utilization, data transmission data, or a negative internet protocol address; determine, by a machine learning model, whether the data transmission matches at least one pre-identified compromised data transmission pattern; determine whether to transmit the data transmission based on the determination whether the anomaly is present in the processing component or the determination whether the data transmission matches at least one pre-identified compromised data transmission pattern; and generate an alert interface component based on said determinations of the presence of anomalies or pre-identified compromised data transmission patterns.