Quantum-resilient software security: A fuzzy AHP-based assessment framework in the era of quantum computing

Area of Science:

• Information Technology
• Quantum Computing
• Software Security

Background:

• Quantum computing's rise transforms IT, introducing both opportunities and security challenges.
• Increasing electronic applications lead to complex software, potentially introducing vulnerabilities.
• Quantum bits (qubits) add complexity and risk to the software security landscape.

Purpose of the Study:

• To evaluate the efficacy of quantum computing approaches in enhancing software security.
• To address the growing need for robust software security in the quantum era.
• To prioritize security variables using quantum security criteria.

Main Methods:

• Utilizing a multi-criteria decision-making methodology.
• Investigating five key quantum methods: lattice-based cryptography, fully homomorphic algorithms, quantum key distribution, quantum hash functions, and blind quantum algorithms.
• Employing the Fuzzy Analytic Hierarchy Process (F-AHP), a soft computing technique.

Main Results:

• The study proposes F-AHP as a reliable tool for evaluating software security in the quantum computing era.
• Identified key quantum security criteria for prioritizing software security variables.
• Provided an innovative perspective on software security evaluation.

Conclusions:

• Quantum computing necessitates a re-evaluation of software security strategies.
• The proposed F-AHP method offers a structured approach to prioritizing quantum-influenced security measures.
• Proactive integration of quantum security principles is crucial for future software development.