Network Risk Assessment via Dynamic Static Score Aggregation
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Solution Overview
Problem
Current systems for determining risk in computer networks only consider static risk factors for individual devices, failing to account for dynamic risk factors and inter-device interactions, which reduces the accuracy of risk scoring as networks become more complex and interconnected.
Innovation Solution
A method that computes both static and dynamic risk scores for each device in a network, combining them to generate a total risk score, and aggregates these scores to assess the overall network risk, considering how risks propagate across interconnected devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only static risk factors are analyzed for each computing device in isolation, then the risk assessment process is simple and fast, but the accuracy and comprehensiveness of risk scoring deteriorates as networks become more complex and interconnected
Solution Approach 1:
The risk assessment system segments the overall network risk into individual device risk scores, which are then aggregated. Each computing device is assessed separately for its static risk factors, and these individual assessments are combined to form the overall network risk profile, allowing manageable analysis of complex networks while maintaining comprehensive coverage
Solution Approach 2:
The system merges multiple risk assessment dimensions including static device risk factors, dynamic network interactions, and inter-device connectivity patterns into a unified risk score. This combination of multiple assessment types resolves the contradiction by providing comprehensive accuracy while integrating these factors through a standardized scoring methodology
2Reliability
If dynamic risk factors and inter-device interactions are incorporated into risk assessment, then the comprehensiveness and accuracy of risk scoring improves, but the computational complexity and resource requirements increase
Solution Approach 1:
The system implements dynamic risk assessment by continuously monitoring and updating risk scores based on changing network conditions, device behaviors, and emerging threats. Risk factors are updated in real-time rather than remaining static, allowing the system to adapt to dynamic network environments while using efficient algorithms to manage computational overhead
Solution Approach 2:
The risk assessment system incorporates feedback loops where risk scores from individual devices and interaction patterns feed into updated assessments of connected devices. This feedback mechanism propagates risk information through the network topology, improving reliability by accounting for inter-device relationships while using the feedback structure to optimize computational efficiency
3Loss of information
If risk propagation across interconnected devices is analyzed, then the ability to identify network-wide risks improves, but the time and computational effort required for assessment increases
Solution Approach 1:
The system adds the dimension of network topology and device connectivity to the traditional single-device risk assessment. By incorporating spatial relationships and communication pathways between devices, the system achieves comprehensive network risk visibility while using graph-based algorithms that efficiently traverse network structures rather than requiring exhaustive analysis of all possible device combinations
Data Source
AI summary
Systems and methods for risk assessment of a computer network are described. In one embodiment a first static risk score corresponding to a first computing device is computed. A connectivity map corresponding to the first computing device is determined. Communication performed by the first computing device via the connectivity map is analyzed, and a first dynamic risk score corresponding to the first computing device is computed. The first static risk score and the first dynamic risk score are combined to generate a first total risk score for the first computing device. A second total risk score for a second computing device is determined. The first total risk score and the second total risk score are aggregated into an aggregate risk score. A risk assessment of the computer network is determined based on the aggregate risk score.