Blockchain Network Mapping for Self-Executing Program Compliance
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Solution Overview
Problem
The integration of blockchain technology into traditional software infrastructures is hindered by security concerns related to immutable self-executing programs, which cannot be changed or deleted once published, and the uncertainty surrounding their characteristics and compatibility with specific applications and regulatory requirements.
Innovation Solution
A system and method for mapping networks to facilitate blockchain actions by identifying and evaluating self-executing programs and other applications, ensuring compliance and security through configuration and access controls, and generating recommendations for secure and efficient blockchain actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If self-executing programs are made immutable after publication to ensure security and integrity, then reliability is improved, but adaptability deteriorates because they cannot be changed or deleted to address security flaws
Solution Approach 1:
The system segments the self-executing program lifecycle into distinct phases: development/testing environment, approval stage, and immutable execution stage. During development and testing, the program can be modified and updated. Once approved and deployed to the blockchain, the program becomes immutable. This segmentation allows adaptability during the development phase while ensuring reliability during the execution phase, resolving the contradiction between being able to fix flaws and maintaining integrity.
2Ease of operation
If any user can publish self-executing programs on public networks to maintain decentralization, then ease of operation is improved, but security deteriorates due to unknown third parties installing programs without permission
Solution Approach 1:
The system introduces an intermediary approval mechanism between program submission and deployment. A designated approver or authorization system acts as a mediator that reviews submitted self-executing programs for security and compliance before allowing them to be deployed to the blockchain. This intermediary layer maintains the ease of publication while filtering out harmful programs, thus resolving the contradiction between open access and security.
3Reliability
If self-executing programs are permanently stored on blockchain to ensure immutability, then reliability is improved, but loss of information worsens because programs cannot be deleted or updated to address flaws
Solution Approach 1:
The system performs preliminary actions during the development and testing phases to identify and correct flaws before deployment. Comprehensive testing, security audits, and approval processes are conducted beforehand to ensure the program is flawless. This preliminary action prevents the need for later deletions or updates, maintaining blockchain immutability while avoiding the propagation of flawed programs.
4Reliability
If network mapping and compliance checking are implemented to enhance security, then reliability is improved, but device complexity increases due to additional evaluation and filtering mechanisms
Solution Approach 1:
The system performs network mapping, compliance checking, and security evaluation in advance before blockchain actions are executed. By conducting these checks preliminarily and caching the results, the system establishes security requirements and compliant program lists beforehand. This preliminary action reduces the complexity during actual execution, as the filtering and validation work has already been completed.
Data Source
AI summary
Systems and methods for generating network mappings of self-executing program characteristics. For example, the system may receive a first user request to generate a mapping of a first network, wherein the mapping indicates self-executing program characteristics corresponding to each self-executing program of a first plurality of self-executing programs. In response to the first user request, the system may query the first plurality of self-executing programs to generate the mapping by identifying each self-executing program in the first plurality of self-executing programs, determining respective relationships between each self-executing program in the first plurality of self-executing programs and other self-executing programs in the first plurality of self-executing programs, and determining respective self-executing program characteristics for each self-executing program in the first plurality of self-executing programs. The system may store the mapping.


