The introduction of quantum computing has transformed the setting of information technology, bringing both unprecedented opportunities and significant challenges. As quantum technologies continue to evolve, addressing their implications for software security has become an essential area of research. This paradigm change provides an unprecedented chance to strengthen software security from the start, presenting a plethora of novel alternatives. We use a multi-criteria decision-making methodology in this work to evaluate the efficacy of quantum computing approaches in improving software security. As the number of electronic applications grows, software developers strive to produce more sophisticated and user-friendly alternatives. However, in the pursuit of complexity, vulnerabilities may be introduced inadvertently, posing a substantial danger to software security. Our study addresses five major components of the quantum method to overcome these challenges: lattice-based cryptography, fully homomorphic algorithms, quantum key distribution, quantum hash functions, and blind quantum algorithms. The rapid development of quantum bits (qubits) regarded as basic quantum entities adds complexity and risk to the software security landscape. As a result, in the age of quantum computing, evaluating software security becomes not only necessary but also critical. To accomplish this objective, we propose the Fuzzy Analytic Hierarchy Process (F-AHP), a soft computing method, as a reliable tool for accomplishing this goal. Our research aims to prioritise security variables using quantum security criteria, providing an innovative viewpoint on software security evaluation in the quantum computing era.
The introduction of quantum computing has transformed the setting of information technology, bringing both unprecedented opportunities and significant challenges. As quantum technologies continue to evolve, addressing their implications for software security has become an essential area of research. This paradigm change provides an unprecedented chance to strengthen software security from the start, presenting a plethora of novel alternatives. We use a multi-criteria decision-making methodology in this work to evaluate the efficacy of quantum computing approaches in improving software security. As the number of electronic applications grows, software developers strive to produce more sophisticated and user-friendly alternatives. However, in the pursuit of complexity, vulnerabilities may be introduced inadvertently, posing a substantial danger to software security. Our study addresses five major components of the quantum method to overcome these challenges: lattice-based cryptography, fully homomorphic algorithms, quantum key distribution, quantum hash functions, and blind quantum algorithms. The rapid development of quantum bits (qubits) regarded as basic quantum entities adds complexity and risk to the software security landscape. As a result, in the age of quantum computing, evaluating software security becomes not only necessary but also critical. To accomplish this objective, we propose the Fuzzy Analytic Hierarchy Process (F-AHP), a soft computing method, as a reliable tool for accomplishing this goal. Our research aims to prioritise security variables using quantum security criteria, providing an innovative viewpoint on software security evaluation in the quantum computing era.
Quantum security is an evolving field that leverages principles of quantum physics to strengthen computing systems. Core concepts such as superposition and entanglement are foundation to this domain. However, current systems face significant challenges due to the extraordinary processing capabilities of quantum computers. As large-scale quantum computers with high qubit counts become operational, existing cybersecurity mechanisms are increasingly inadequate. This rapid advancement in quantum computing poses substantial risks to software, networks, web-based systems, and other security measures. To address these challenges, enhancing cybersecurity mechanisms is imperative. This paper explores various quantum security strategies categorized into six mechanisms (E1 to E6) and examines their effects on cybersecurity factors labeled H1 through H8. The analysis employs the Fuzzy Analytic Hierarchy Process (F-AHP) method, which assesses the relative importance of these factors based on an extensive literature review. By calculating the weight of different security aspects, the F-AHP method provides insights to prioritize critical components throughout the development cycle. The findings reveal that quantum-resistant cryptography is the most effective security measure. In contrast, digital signatures resistant to quantum errors were assigned the lowest priority, while the software system (H2) received the highest priority. These results underscore the importance of developing robust cybersecurity frameworks that align with the capabilities of quantum technology. As the field advances, it is crucial to design software, networks, and security systems that support the optimal functionality of quantum computers. Implementing quantum security mechanisms can significantly reduce vulnerabilities and mitigate the risk of cyberattacks. Over the next decade, new approaches to cybersecurity risk analysis leveraging quantum technology are expected to emerge, paving the way for enhanced cyber resilience in a quantum-powered future.
Abstract: Quantum computer development attracts security experts in software. Software developers need to pay attention to the development of quantum computers in terms of software security. The security of software is at risk with the computation speed of quantum mechanisms in computing. Background: Software security evaluation focuses on the fundamental security features of the soft-ware as well as the quantum enable security alternatives. The rapid development of a number of qubits in quantum computers makes the present security mechanism of software insecure. The soft-ware security evaluation is the most crucial part of surveying, controlling, and administering security in order to further improve the properties of safety. Objective: It's crucial to understand that performing a security assessment early on in the develop-ment process can help you find bugs, vulnerabilities, faults, and attacks. In this quantitative study, the definition and use of the quantum computing security approach in software security will be cov-ered. The cryptographic calculations had to secure our institutions based on computers and networks. Methods: The Fuzzy Technique for Order Preference by Similarity to Ideal Situation (Fuzzy-TOPSIS) to quantitatively assess the rank of the quantum enable security alternatives with security factors. Results: The Quantum Key Distribution [A2], the quantum technique of security approach, has got the top priority and quantum key distribution in GHz state [A6] got the least in the estimation of software security during the era of quantum computer by the neural network method of Fuzzy-TOPSIS. Conclusion: The quantum mechanism of computing makes classical computing insecure. The secu-rity estimation of software makes developers focus on the quantum mechanism of security. The quantum mechanism of quantum key distribution is to make software secure.
Context The current technology revolution has posed unexpected challenges for the software industry. In recent years, the field of quantum computing (QC) technologies has continued to grow in influence and maturity, and it is now poised to revolutionise software engineering. However, the evaluation and prioritisation of QC challenges in the software industry remain unexplored, relatively under-identified and fragmented. Objective The purpose of this study is to identify, examine and prioritise the most critical challenges in the software industry by implementing a fuzzy analytic hierarchy process (F-AHP). Method First, to identify the key challenges, we conducted a systematic literature review by drawing data from the four relevant digital libraries and supplementing these efforts with a forward and backward snowballing search. Second, we followed the F-AHP approach to evaluate and rank the identified challenges, or barriers. Results The results show that the key barriers to QC adoption are the lack of technical expertise, information accuracy and organisational interest in adopting the new process. Another critical barrier is the lack of standards of secure communication techniques for implementing QC. Conclusion By applying F-AHP, we identified institutional barriers as the highest and organisational barriers as the second highest global weight ranked categories among the main QC challenges facing the software industry. We observed that the highest-ranked local barriers facing the software technology industry are the lack of resources for design and initiative while the lack of organisational interest in adopting the new process is the most significant organisational barrier. Our findings, which entail implications for both academicians and practitioners, reveal the emergent nature of QC research and the increasing need for interdisciplinary research to address the identified challenges.
The current technology revolution has posed unexpected challenges for the software industry. In recent years, the field of quantum computing (QC) technologies has continued to grow in influence and maturity, and it is now poised to revolutionise software engineering. However, the evaluation and prioritisation of QC challenges in the software industry remain unexplored, relatively under-identified and fragmented. The purpose of this study is to identify, examine and prioritise the most critical challenges in the software industry by implementing a fuzzy analytic hierarchy process (F-AHP). First, to identify the key challenges, we conducted a systematic literature review by drawing data from the four relevant digital libraries and supplementing these efforts with a forward and backward snowballing search. Second, we followed the F-AHP approach to evaluate and rank the identified challenges, or barriers. The results show that the key barriers to QC adoption are the lack of technical expertise, information accuracy and organisational interest in adopting the new process. Another critical barrier is the lack of standards of secure communication techniques for implementing QC. By applying F-AHP, we identified institutional barriers as the highest and organisational barriers as the second highest global weight ranked categories among the main QC challenges facing the software industry. We observed that the highest-ranked local barriers facing the software technology industry are the lack of resources for design and initiative while the lack of organisational interest in adopting the new process is the most significant organisational barrier. Our findings, which entail implications for both academicians and practitioners, reveal the emergent nature of QC research and the increasing need for interdisciplinary research to address the identified challenges.
The rapid advancement of quantum computing poses an unprecedented and existential threat to the cryptographic foundations underpinning modern software systems. Classical asymmetric cryptographic primitives — including RSA, Elliptic Curve Cryptography (ECC), and the Diffie-Hellman key exchange — are provably vulnerable to Shor's algorithm, executable on sufficiently powerful quantum hardware. This data analysis study presents a comprehensive investigation of quantum computing security threats across the software design lifecycle, employing a Fuzzy Analytic Hierarchy Process (Fuzzy-AHP) to systematically quantify and prioritize eight critical security dimensions: confidentiality, integrity, availability, authentication, non-repudiation, key management, side-channel resistance, and forward secrecy. Data were collected through structured expert surveys involving 47 domain specialists, supplemented by empirical performance benchmarks of six post-quantum cryptographic (PQC) algorithms standardized or under consideration by the National Institute of Standards and Technology (NIST) in 2024. Our Fuzzy-AHP analysis yields a global Consistency Ratio (CR) of 0.047, well within the acceptable threshold of 0.10, validating the reliability of expert judgments. Results demonstrate that confidentiality (weight: 0.920) and integrity (weight: 0.880) are the highest-priority security dimensions in the quantum threat context. Comparative data analysis of classical, hybrid, and full post-quantum deployments reveals that quantum attack resistance improves by 9,300% under full PQC adoption relative to classical cryptography alone, while introducing a 663% increase in key exchange latency. A five-phase quantum-safe software design framework is proposed and validated against the SDLC. The study concludes with actionable guidance for software architects, security engineers, and organizational decision-makers navigating the transition to quantum-resilient software infrastructure.
The development of quantum computers seeks software developers' attention regarding security in the era of Information Technology, software security is the primary goal for our quantitative assessment of software security in the development cycle of software. Security assessment of software is identifying the key security factors of the software. A security elective provides ex-tensive strategies and calculations to ensure product safety. The security assessment is the key factor in surveying, administering, and controlling security to further enhance the nature of safety. It should be acknowledged that assessing security early on in the development process is beneficial in identifying worms, hazards, flaws, and threats. The definition and portrayal of Quantum Computing (QC) in software security will be discussed in this study. Researchers use cryptography calculations to secure our financial institutions, medical devices, military weaponry, planes, ships, vehicles, and pilots. Here authors of this study use the Fuzzy Technique for Order Preference by Similarity to Ideal Situation (FTOPSIS) to quantitatively assess the weight/rank of the quantum enable security alternatives like (Diffie-Hellman key-exchange algorithm, Quantum key distribution algorithm, Deutsch-Jozsa Algorithm, Special Deutsch-Jozsa Algorithm, Grover’s Algorithm and Quantum key distribution algorithm in GHZ state) with security factors like (Confidentiality, Integrity, Authenti-cation, Privacy, Reliability, Maintainability, Authorization, Integrity, Possessions, and Availability). Additionally, they critically analyze and select the six alternatives of quantum-based security algorithms. The nature of safety infers the ability to execute a thing on time in this exploration study, specifically 'software security'.