Service Pack Vulnerability Scoring for Secure Network Data Flow
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Solution Overview
Problem
Existing cybersecurity measures in enterprise applications are inadequate to address evolving threats, necessitating a proactive and adaptive approach to enhance system security and network data flow.
Innovation Solution
A vulnerability score system is developed to assess and prioritize service packs based on security measures, ensuring only those below a predefined threshold are implemented, utilizing machine learning to predict and manage vulnerabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If service packs are implemented to address security vulnerabilities, then system security is improved, but the complexity of managing and prioritizing service packs increases
Solution Approach 1:
The patent introduces a vulnerability score parameter that quantifies the security risk level of service packs. This parameter transformation allows the system to automatically prioritize and manage service packs based on their vulnerability scores, resolving the contradiction by providing an objective criterion for management decisions rather than relying on complex manual assessment processes
Solution Approach 2:
The patent replaces manual service pack management processes with an automated machine learning-based vulnerability scoring system. The machine learning model automatically analyzes service pack data, calculates vulnerability scores, and prioritizes implementation, substituting the mechanical manual management process with an automated computational system that reduces management complexity
2Measurement precision
If rigorous security testing and code review are conducted, then vulnerability detection is improved, but development time and productivity are reduced
Solution Approach 1:
The patent implements security measures during the planning and design phases of application development, rather than only during testing. By incorporating security requirements definition and secure coding practices early in the development process, vulnerabilities are prevented before they occur, reducing the need for extensive later testing while maintaining high detection accuracy
Solution Approach 2:
The patent establishes continuous monitoring and updates throughout the application deployment and maintenance phases. This continuous security monitoring allows for ongoing vulnerability detection and rapid response to emerging threats, maintaining high security detection capability while enabling faster remediation compared to periodic comprehensive testing
Data Source
AI summary
Systems and methods are disclosed that improve system security and network data flow by utilizing a vulnerability score for a service pack. The system comprises a computing system with at least one processing device and at least one memory device, wherein the computing system executes computer-readable instructions. A network connection operatively connects the devices of the computing system. Upon execution of the computer-readable instructions, the computing system is configured to develop a service pack including a plurality of security measures for the computing system; generate a vulnerability score for the service pack based on specific data, wherein the specific data includes a security measure data set; comparing the vulnerability score for the service pack to a predefined threshold value; and implement the service pack when the vulnerability score is less than the predefined threshold value.