Multi-Layer Reasoning Graph for Shared Resource Security
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Solution Overview
Problem
Current solutions for securing complex networked systems, such as IoT systems, fail to effectively manage the relationships between configuration parameters of interconnected components, leading to vulnerabilities that can be exploited by attackers, as they lack a principled approach to account for dependencies and attack sequences.
Innovation Solution
A system and method that models a shared resource in a multi-layer reasoning graph, using a framework to construct a multi-layer graph with subgraphs for configuration, vulnerability, and dependency relationships, and applies Satisfiability Modulo Theory (SMT) solvers to optimize security objective functions by determining feasible configuration parameter values that satisfy security and functionality constraints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current solutions focus narrowly on tuning configuration parameters of individual system components, then individual component security may be improved, but the complex relationships and dependencies among configuration parameters of interconnected components cannot be managed, leading to overall system vulnerabilities
Solution Approach 1:
The patent merges individual component configuration parameters into a unified multi-layer reasoning graph that captures relationships and dependencies across interconnected components. This allows the system to manage configuration parameters collectively rather than individually, resolving the contradiction by combining isolated tuning efforts into a holistic security optimization framework.
Solution Approach 2:
The multi-layer reasoning graph serves as a universal framework that handles multiple functions: representing configuration parameters, capturing dependencies, modeling attack sequences, and optimizing security across diverse interconnected components. This universal structure resolves the complexity issue by providing a single comprehensive approach that works across different component types and relationships.
2Reliability
If a multi-layer reasoning graph with shared resource models is implemented to manage configuration parameter relationships, then overall system security and interoperability are improved, but the complexity of constructing and solving the optimization problem increases
Solution Approach 1:
The patent segments the complex optimization problem into manageable layers within the reasoning graph, where each layer represents specific aspects of configuration relationships. This segmentation allows the system to handle complexity systematically by breaking down the overall problem into smaller, more tractable sub-problems that can be solved incrementally.
Solution Approach 2:
The multi-layer reasoning graph acts as an intermediary structure between individual component configurations and the overall system security optimization. It mediates the complex relationships by providing a formal framework that captures dependencies and enables systematic optimization, resolving the contradiction by introducing this intermediate representation layer.
3Reliability
If one-to-one mappings are used for shared resources across devices, then device-specific security can be ensured, but scalability issues arise when applying the same model across multiple devices
Solution Approach 1:
The patent creates a universal shared resource model within the multi-layer reasoning graph that can be applied across multiple devices while maintaining device-specific security requirements. This universal model captures essential relationships and dependencies that are common across devices, enabling scalable security optimization without sacrificing device-specific protections.
Solution Approach 2:
The patent transitions from one-to-one device-specific mappings to a multi-dimensional framework where shared resource models operate across multiple devices simultaneously. This dimensional change allows the same model to be instantiated and applied across numerous devices, resolving the scalability issue while preserving device-specific security through the layered structure.
Data Source
AI summary
Embodiments provide a system and method for modeling a shared resource in a multi-layer reasoning graph based on configuration security. During operation, the system can obtain a multi-layer graph for a system with a plurality of components that can include a set of subgroups of components. The system can generate, based on the multi-layer graph, an abstract component to represent a shared resource model for a respective subgroup of components. The shared resource model can be associated with a set of resource constraints. The system can generate a set of values for resource configuration parameters that satisfy the resource constraints. The system can map the shared resource model to a respective component and can then determine, based on the mapping and the set of values for the resource configuration parameters, a set of values for the component configuration parameters thereby facilitating optimization of a security objective function.