Enterprise Application Risk Scoring for Quantum Cryptography Migration
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Solution Overview
Problem
Conventional software risk assessment tools are inefficient and inaccurate in evaluating the security of enterprise applications against quantum computer threats, necessitating a more precise method to assess and mitigate quantum cryptography migration risks.
Innovation Solution
A processor-implemented method and system using a modified Cox model and Mosca's rule to estimate risk by defining and extracting input parameters, computing hazard values, and calculating cumulative risk values for enterprise applications, incorporating quantum threat considerations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional software risk assessment tools are used to evaluate quantum computer threats, then the assessment process is simple, but the accuracy and efficiency of the assessment is insufficient
Solution Approach 1:
The patent segments the risk assessment into three distinct parameter categories: application risk parameters (e.g., cryptographic algorithms used, data sensitivity), platform risk parameters (e.g., quantum resistance capabilities, system architecture), and risk policy parameters (e.g., compliance requirements, security standards). This segmentation allows for comprehensive and accurate assessment while maintaining systematic management of complexity.
Solution Approach 2:
The patent introduces a dynamic risk scoring mechanism that changes parameters based on quantum computing development stages. The assessment model adjusts weightings and thresholds according to the current state of quantum technology, enabling accurate assessment that adapts to evolving threats rather than using static conventional parameters.
2Measurement precision
If a comprehensive risk assessment model with multiple parameters is implemented, then the assessment accuracy improves, but the computational complexity and time required increases
Solution Approach 1:
The patent performs preliminary data collection and parameter extraction from application documentation, configuration files, and system metadata before the actual risk calculation. This preliminary action organizes and validates input data in advance, reducing the time required for the computationally intensive risk assessment phase while maintaining comprehensive parameter coverage.
Solution Approach 2:
The patent replaces manual risk assessment processes with an automated computational model that uses algorithms to calculate risk scores. The system automatically extracts parameters, applies weighting factors, and computes cumulative risk values, substituting time-consuming manual analysis with efficient machine-based calculation that handles multiple parameters simultaneously.
3Reliability
If traditional cryptographic security assessment methods are used, then the assessment process is straightforward, but the security posture against quantum threats is inadequate
Solution Approach 1:
The patent adds a new dimension to traditional cryptographic assessment by incorporating quantum computing threat capabilities. Instead of only evaluating classical security metrics, the model introduces quantum resistance parameters, qubit requirement thresholds, and post-quantum cryptographic readiness, creating a multi-dimensional assessment that captures both classical and quantum security postures.
Solution Approach 2:
The patent introduces an intermediary quantum threat model that bridges traditional cryptographic assessment and quantum security evaluation. This intermediary layer translates quantum computing capabilities into equivalent cryptographic breaking thresholds, allowing traditional security frameworks to incorporate quantum threats without complete restructuring of the assessment methodology.
Data Source
AI summary
The disclosure generally relates to methods and systems for estimating risk of enterprise application for quantum cryptography migration. Conventional software risk assessment tools that assess the quantum computer related security attacks are limited. The present disclosure solves the technical problems in the art for estimating risk of enterprise application for quantum cryptography migration. The methods and systems of the present disclosure formulated the problem based on a survival function in the probability theory, where possible chances of the enterprise application crypto surviving the quantum computer are calculated, and an estimated risk value is assigned to the enterprise software application. The methods and systems of the present disclosure discloses a risk estimator which take enterprise application specific metadata as the inputs and produces the risk score associated to the enterprise application against the quantum threats using a modified cox model and a modified rule of Mosca.