Quantum Computing's Impact on Cryptography: A Framework for Post-Quantum Data Security in Information Systems

Quantum Computing's Impact on Cryptography: A Framework for Post-Quantum Data Security in Information Systems
Quantum Computing's Impact on Cryptography: A Framework for Post-Quantum Data Security in Information Systems In Plain English: This research looks at how powerful new computers called quantum computers could break today's internet security systems, which protect things like online banking and private messages. The study explores new types of security that would still work even with these advanced computers, and it creates a practical plan combining several protection layers to keep data safe. This matters because it helps organizations prepare for future security threats, ensuring that sensitive information in fields like finance, healthcare, and government remains protected as technology evolves. Summary: This research examines the implications of quantum computing for cryptography and data security in information systems, framing quantum computing as both a threat to current encryption methods and a catalyst for developing quantum-resistant solutions. The work addresses three key challenges: secure key distribution, computational performance, and the migration from classical to post-quantum cryptographic systems. It identifies a significant gap in existing research—the lack of empirical validation for quantum-safe algorithms—and seeks to address this by evaluating the security of post-quantum cryptosystems (including lattice-based, hash-based, and multivariate polynomial approaches) against quantum attacks. The study proposes a multi-layered security framework that integrates quantum-safe encryption, AI-driven anomaly detection, and blockchain-based authentication to enhance resilience. By providing sector-specific insights for finance, healthcare, and government, the research facilitates the development of standardized security frameworks and policy recommendations, aiding organizations in transitioning to a quantum-secure future. Key Points: - Quantum computing poses a dual role: threatening current cryptographic systems while driving the adoption of post-quantum cryptography. - Three critical problems are addressed: secure key distribution, computational performance, and cryptographic migration. - Existing studies often lack empirical validation for quantum-resistant algorithms, a limitation this work aims to overcome. - The research characterizes the security of post-quantum cryptosystems (lattice-based, hash-based, multivariate polynomial) against quantum attacks. - A multi-layered security framework is proposed, combining quantum-safe encryption, AI-powered anomaly detection, and blockchain authentication. - Sector-specific insights are provided for finance, healthcare, and government to support the development of standardized quantum security policies. - The work helps organizations implement scalable quantum-resistant solutions and mitigate cybersecurity risks in a post-quantum era. Notable Quotes: - "Quantum computing has the potential to transforming computational paradigms, posing both a threat and an opportunity to contemporary cryptographic systems and data security frameworks." - "Many works were unable to empirically validate or implement quantum-resistant algorithms in the real world, which represents a significant limitation to existing studies." - "This research bridges the gap by offering sector-specific insights into quantum security needs across key industries, including finance, healthcare, and government, facilitating the drafting of a standardized security framework and policy recommendations for a quantum-secure future." Data Points: - The research addresses three specific problems: secure key distribution, computational performance, and cryptographic migration. - Three types of post-quantum cryptosystems are analyzed: lattice-based, hash-based, and multivariate polynomial. - Three key industries are highlighted for sector-specific insights: finance, healthcare, and government. - No specific numerical data, dates, or metrics are provided in the content. Controversial Claims: - The assertion that a multi-layered framework combining quantum-safe encryption, AI, and blockchain inherently "increases resilience against quantum attacks" may be speculative without empirical validation. - The claim that the research "fills the gap" in empirical validation of quantum-resistant algorithms could be debated, as the content does not present new experimental data or implementation results. - The implication that sector-specific insights alone can facilitate a "standardized security framework" may overlook the complexity of harmonizing policies across diverse industries. Technical Terms: - Quantum computing - Cryptographic systems - Post-quantum cryptography - Quantum-safe security architectures - Lattice-based cryptosystems - Hash-based cryptosystems - Multivariate polynomial cryptosystems - Secure key distribution - Cryptographic migration - AI-powered anomaly detection - Blockchain-based authentication - Quantum-resistant algorithms - Cybersecurity risks —Ada H. Pemberley Dispatch from Trigger Phase E0