Dynamic Data Security Model for Interdependency Anomaly Detection

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Solution Overview

Problem

Conventional data security models in distributed computing environments lack a dynamically modifiable structure that accounts for interdependencies and is incapable of dynamic modification to data entries and their interdependencies, leading to incomplete and inconsistent security implementations.

Innovation Solution

A dynamically modifiable data security model with data objects defining hierarchical positions and links that include data object interdependencies, allowing for dynamic modification and anomaly detection, and user access control based on model changes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If conventional data security models are used in distributed computing environments, then implementation is simpler, but the security model lacks dynamic modifiability and cannot account for interdependencies between data objects

Engineering Contradiction:

Improvedynamic modifiabilityVSAvoidmodel structure complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The data security model is segmented into discrete data objects, each representing a specific data entry or group of entries. Each data object is an independent unit that can be modified, added, or removed without affecting the entire model, enabling dynamic adaptability while maintaining manageable complexity through modular organization.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The model transitions from a static structure to a dynamic one where data objects and their interdependencies can be modified in real-time. The system automatically detects and propagates changes through the model, allowing the security model to adapt to changing requirements while maintaining consistency across all related data objects.

Inventive Principle:

Principle #15Dynamics

2Reliability

If a comprehensive data security model with interdependencies is implemented, then security coverage is improved, but modification and maintenance become more difficult

Engineering Contradiction:

Improvesecurity consistencyVSAvoidmodel modification ease

Core Design Contradiction:

ReliabilityVSEase of repair

Solution Approach 1:

The system incorporates automatic feedback mechanisms that detect changes to data objects and propagate them through the model. When a data object is modified, the system automatically identifies related objects through interdependency links and updates them accordingly, ensuring security consistency without manual intervention and simplifying maintenance.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The data security model performs self-updates through automatic change propagation. When modifications are made to data objects, the system autonomously traverses interdependency links and applies necessary changes to related objects, eliminating the need for manual model maintenance while preserving comprehensive security coverage.

Inventive Principle:

Principle #25Self-service

3Ease of operation

If manual modification of data security models is performed, then control over changes is maintained, but anomalies and inconsistencies are more likely to occur

Engineering Contradiction:

Improvemodification controlVSAvoidmodel consistency

Core Design Contradiction:

Ease of operationVSManufacturing precision

Solution Approach 1:

The manual mechanical process of model modification is replaced with an automated computational system. The system uses algorithmic logic to detect changes, traverse interdependency links, and propagate modifications automatically, eliminating human error while preserving operational control through defined change propagation rules and anomaly detection capabilities.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12572632B2Systems and methods for data security model modification and anomaly detection

Publication Date: 2026.03.10 BANK OF AMERICA CORP

AI summary

Systems, methods, and computer program products are provided herein for data security model modification and anomaly detection. An example method includes receiving a model input associated with one or more data entries of a data security model and accessing the data security model. The data security model includes a plurality of data objects including one or more data entries where each data object defines an associated model level indicative of the hierarchical position of the data object within the data security model and one or more links between the data objects that define data object interdependency parameters. The example method further includes determining one or more data objects of the data security model implicated by the model input and modifying one or more data entries of the one or more implicated data objects of the data security model in response to the model input.