The emergence of quantum computing is a severe threat to traditional encryption technologies particularly those applied to large-scale data environments. Since big data systems are based on encryption algorithms that can theoretically be broken using quantum algorithms such as Grovers and Shors, big data systems are especially susceptible. Big data systems are characterized by huge volume, velocity and variety. Post-Quantum Cryptography (PQC) offers a proactive way of safeguarding such systems through the use of quantum-resistant algorithms that include hash-, lattice-, code-, and multivariate polynomial algorithms. This work discusses how PQC can be incorporated into big data infrastructures, particularly in distributed environments such as Hadoop and Spark, secure storage and real-time processing. Potential solutions are discussed along with such crucial topics as interoperability, computing overhead, and classical-to-quantum-safe standard transition. By adopting an early form of implementation of PQC, organizations can future-proof their big data security framework against an evolving quantum threat landscape.
The emergence of quantum computing is a severe threat to traditional encryption technologies particularly those applied to large-scale data environments. Since big data systems are based on encryption algorithms that can theoretically be broken using quantum algorithms such as Grovers and Shors, big data systems are especially susceptible. Big data systems are characterized by huge volume, velocity and variety. Post-Quantum Cryptography (PQC) offers a proactive way of safeguarding such systems through the use of quantum-resistant algorithms that include hash-, lattice-, code-, and multivariate polynomial algorithms. This work discusses how PQC can be incorporated into big data infrastructures, particularly in distributed environments such as Hadoop and Spark, secure storage and real-time processing. Potential solutions are discussed along with such crucial topics as interoperability, computing overhead, and classical-to-quantum-safe standard transition. By adopting an early form of implementation of PQC, organizations can future-proof their big data security framework against an evolving quantum threat landscape.
The emergence of quantum computing poses a serious threat to traditional communication systems, endangering the security of digital communications and critical infrastructure. Although existing cryptographic algorithms (such as RSA and ECC) rely on the inefficiency of computing large numbers or solving logarithm inequality problems, quantum algorithms (especially Shor's algorithm) can solve these problems efficiently. To mitigate this threat, the field of post-quantum cryptography (PQC) has emerged and focuses on developing cryptographic systems that are resilient to quantum attacks. The main techniques in PQC include lattice-based, hash-based, code-based, and multivariate polynomial cryptography. Lattice-based cryptography is the leading contender, providing high security and supporting good properties such as fully homomorphic encryption, but facing issues related to size and computational efficiency. Hash-based encryption enables strong digital signatures but has limitations. Code-based encryption based on error-correcting codes provides proof of security but requires small size. Multivariate polynomial cryptography has good performance but has drawbacks in some applications. While standardization efforts led by organizations such as NIST continue, PQC is at the forefront of protecting the digital future from the impact of quantum computing, ensuring the integrity and confidentiality of information in the post-quantum era.
As artificial intelligence (AI) systems increasingly underpin critical applications in healthcare, finance, defense, and infrastructure, ensuring their security has become paramount. However, the rapid advancement of quantum computing poses a significant threat to classical cryptographic schemes that currently safeguard these systems. Quantum algorithms such as Shor’s and Grover’s threaten to undermine the confidentiality, integrity, and authentication of data and models that AI systems depend on. In this context, Post-Quantum Cryptography (PQC) has emerged as a crucial area of research aimed at developing cryptographic algorithms that are secure against both classical and quantum adversaries. This paper investigates the intersection of quantum computing threats and AI system vulnerabilities, highlighting how current security mechanisms may fail in a post-quantum era. We explore various categories of PQC—including lattice-based, hash-based, and multivariate polynomial cryptography—and evaluate their applicability to securing AI systems, particularly in scenarios such as model distribution, federated learning, data encryption, and communication in AI-enabled edge and IoT environments. Through analysis of emerging use cases and proposed architectures, the paper outlines how PQC can be integrated into the AI lifecycle to mitigate quantum-era threats. It also identifies key challenges such as computational overhead, integration complexity, and standardization gaps. The study concludes by outlining future research opportunities, including the development of efficient PQC protocols tailored to AI workloads, the creation of quantum-resilient AI pipelines, and the importance of interdisciplinary collaboration to secure AI’s future.
The advent of quantum computing poses a significant threat to current cryptographic systems, particularly public-key algorithms such as RSA and ECC, which are vulnerable to quantum attacks like Shor's algorithm. Post-Quantum Cryptography (PQC) aims to develop and standardize quantum-resistant cryptographic algorithms to secure digital communications in the quantum era. This paper examines the current landscape of PQC, focusing on the evaluation and standardization efforts led by organizations such as the National Institute of Standards and Technology (NIST). We analyze the major families of quantum-resistant algorithms, including lattice-based, hash-based, code-based, multivariate, and isogeny-based cryptography, discussing their security guarantees, performance trade-offs, and implementation challenges. Furthermore, we review NIST's PQC standardization process, highlighting selected finalists and alternate candidates, and explore the ongoing transition challenges in adopting these algorithms across industries. Finally, we discuss future directions for PQC research, including hybrid cryptographic systems and the need for continued cryptanalysis to ensure long-term security. This work provides a comprehensive overview of the progress and challenges in deploying quantum-resistant cryptography to safeguard against emerging quantum threats.
Quantum computing is rapidly advancing and threatens the cryptographic systems that secure digital communications. Classical cryptosystems, such as RSA and ECC, rely on mathematical problems that are difficult for classical computers but can be solved easily by quantum algorithms, such as Shor’s. This challenge underscores the pressing need for Post-Quantum Cryptography (PQC) to safeguard data against both classical and quantum threats. This study provides a comprehensive review of PQC Approaches in securing data against quantum threats by analyzing reviewed journals, conference proceedings, book chapters, and websites. Several researchers reviewed relevant literature published between 2019 and 2026 using the ACM Digital Library, Wiley Online Library, Taylor & Francis, Springer, ScienceDirect, MDPI, IEEE Xplore Digital Library, and Google Scholar. The review evaluates lattice-based, code-based, Hash-based, multivariate, and isogeny-based schemes across security strength, performance, interoperability, and deployment feasibility in heterogeneous environments, including cloud platforms and Internet of Things devices. The findings indicate that lattice-based schemes, particularly CRYSTALS-Kyber and CRYSTALS-Dilithium, currently offer the most balanced trade-off between efficiency and quantum resistance, while Hash-based schemes such as SPHINCS+ prioritize conservative security at notable performance cost. Code-based approaches, including McEliece, demonstrate strong long-term security but remain constrained by large key sizes. The review highlights implementation, energy, migration, and governance barriers that must be addressed before adoption. The review concludes by emphasizing that transitioning to PQC requires a collaborative effort from academia, industry, and government. Future research should focus on integrating lightweight PQC in IoT, 5G/6G, and cloud environments, as well as developing hybrid models that combine classical and quantum-safe systems. Addressing these issues is crucial for establishing secure data protection in the quantum era.
With the constantly changing world of computers nowadays, the introduction of quantum computing has posed immense threats to the security of old and previous encryption algorithms. Post-Quantum Cryptography or PQC refers to a new generation of algorithms specifically created to resist the intense quantum computer attacks and offer secure and long-lasting protection to digital communications. As the potential of quantum technology becomes increasingly evident, the pursuit of secure, future-proof cryptographic solutions has never been more critical. This systematic review explores different PQC solutions for their strengths, weaknesses, and challenges of implementation. provides a comprehensive analysis of key studies on quantum-resistant algorithms, migration strategies and examines cryptographic security measures to present a complete picture of the latest advancements in quantum-safe cryptography. In this systematic paper, different PQC algorithms such as lattice, hash, code, multivariate and isogeny are reviewed along with their advantages and disadvantages. It also discusses how such findings will affect the security of real world communication, digital signatures, as well as blockchain security. This ensures how important it is to establish standardized PQC protocols for overall data security. This paper concludes with what future research directions and practical considerations relate to the adoption of PQC in critical infrastructures.
The rapid advancement of quantum computing poses a significant threat to current cryptographic standards, particularly those securing electronic health records (EHRs) in healthcare systems.Traditional encryption methods such as RSA, ECC, and AES, while robust against classical attacks, are vulnerable to quantum algorithms like Shor's and Grover's, which can efficiently break cryptographic keys and compromise patient data integrity.As healthcare systems become increasingly interconnected through the Internet of Things (IoT) and cloud-based infrastructures, the need for quantum-resistant security mechanisms becomes paramount.Post-Quantum Cryptography (PQC) emerges as a viable solution to future-proof EHR security by employing lattice-based, hash-based, code-based, and multivariate polynomial cryptographic techniques that remain resistant to quantum attacks.This paper explores the implications of quantum computing on healthcare cybersecurity, emphasizing the vulnerabilities of existing encryption protocols and the necessity of transitioning toward PQC frameworks.Furthermore, we examine the integration of PQC within healthcare infrastructures, focusing on key exchange mechanisms, digital signatures, and end-to-end encryption for secure EHR transactions.Additionally, the study highlights regulatory and compliance considerations, including the National Institute of Standards and Technology (NIST) PQC standardization efforts and the role of Zero Trust security models in mitigating quantum-era cyber risks.Case studies illustrate successful implementations of PQC in healthcare networks, demonstrating its feasibility and effectiveness in safeguarding sensitive medical information.By adopting quantum-resistant cryptographic standards, healthcare institutions can proactively defend against emerging cyber threats, ensuring data confidentiality, integrity, and long-term resilience in the face of quantum computing advancements.