The rapid advancement of quantum computing poses significant challenges to traditional cryptographic methods. Algorithms such as Shor’s and Grover’s have substantially weakened the security of symmetric and asymmetric encryption, exposing critical vulnerabilities in drone networks, particularly in identity authentication and key exchange. This paper examines the impact of quantum computing on drone network security, introduces an enhanced Dolev-Yao model to address quantum threats, and explores security challenges in both centralized and distributed drone networks. Using the ProVerif tool, this study evaluates existing drone security protocols under quantum attack scenarios. The results reveal that current protocols are inadequate against quantum threats, underscoring the urgent need for post-quantum cryptographic solutions to ensure the security of drone networks.
The rapid advancement of quantum computing poses significant challenges to traditional cryptographic methods. Algorithms such as Shor’s and Grover’s have substantially weakened the security of symmetric and asymmetric encryption, exposing critical vulnerabilities in drone networks, particularly in identity authentication and key exchange. This paper examines the impact of quantum computing on drone network security, introduces an enhanced Dolev-Yao model to address quantum threats, and explores security challenges in both centralized and distributed drone networks. Using the ProVerif tool, this study evaluates existing drone security protocols under quantum attack scenarios. The results reveal that current protocols are inadequate against quantum threats, underscoring the urgent need for post-quantum cryptographic solutions to ensure the security of drone networks.
Modern societies increasingly rely on interconnected devices and individuals for information exchange and monitoring. In this manner, drones, as flying smart nodes in the wireless network ecosystem, facilitate diverse applications, such as industrial, civilian, and disaster response operations. However, the widespread adoption of drone networks introduces significant challenges regarding interoperability, privacy, and security. Advances in quantum computing exacerbate these issues by rendering classical cryptographic measures inadequate, necessitating the adoption of quantum-safe approaches. Existing solutions fail to address all potential threats or lack post-quantum security. This work sets out to propose a robust lattice-based authentication and communication protocol for drone networks, addressing these challenges. The protocol integrates dynamic credentials, timestamps, multi-factor authentication, and context information to enhance security. The scheme's security is analyzed using the DY and BPR models and formally verified via the AVISPA tool. Performance evaluations and comparisons with existing solutions demonstrate the protocol's functionality, showcasing a reasonable trade-off between security and performance. By leveraging modern cryptographic techniques, the proposed scheme ensures reliable and robust drone operations, effectively mitigating various attacks beyond session establishment while safeguarding privacy, and supporting dynamic network events.
Abstract—The emergence of quantum computing represents a fundamental challenge to contemporary cryptographic infras- tructures, mandating immediate adoption of quantum-resistant cryptographic standards to ensure long-term security. This paper analyzes how Shor’s algorithm renders RSA , ECC vulnerable by solving integer factorization and discrete alogarithm problems in polynomial time, while Grover’s algorithm weakens symmetric encryption through quadratic speedup attacks. Through compre- hensive cryptanalysis, we evaluate the vulnerabilities of current public-key infrastructures, symmetric ciphers, and hash functions against quantum threats. Our research systematically examines post-quantum cryptographic candidates, including lattice-based, hash-based, and multivariate polynomial schemes under NIST standardization, assessing their security guarantees and imple- mentation challenges. Furthermore, we investigate the broader implications for secure communications, blockchain networks, and authentication protocols in a post-quantum world. Based on our findings, we propose a practical transition framework featuring hybrid cryptographic systems, protocol enhancements, and policy updates to facilitate seamless migration. This work provides critical insights and actionable strategies for securing digital infrastructure against quantum threats while maintaining operational efficiency during the transition period. Index Terms—Cryptographic vulnerability, Grover’s algo- rithm, Post-quantum cryptography, Quantum computing, Quan- tum key distribution, Shor’s algorithm, Cybersecurity
Quantum computing is a transformational technology once implemented, capable of addressing problems far beyond the capacity of classical computers. But this progress is also a real challenge to the core of today's modern security. Traditional cryptographic algorithms, such as those based on RSA, ECC, and Diffie-Hellman key exchange, are based on the computational hardness of problems such as prime factorization and discrete logarithms that quantum algorithms solve in polynomial time. As a particular research interesting example, with Shor's Algorithm one can factorize large numbers efficiently, rendering insecure the majority of public key cryptosystems used nowadays. This urgently demands a reevaluation of existing encryption schemes in the context of a post-quantum world. In this paper, we take a closer look at the threats that quantum computers pose to classical security infrastructure including encryption scheme and explore the impact that quantum computation can have on current cryptographic schemes. It calculates the cost in terms of symmetric and asymmetric security, accounting for effects of both Shor's and Grover's algorithms. Symmetric key systems such as AES are also harder hit—Grover's algorithm can give only a quadratic speedup here—but they do need to double key sizes for a sufficient level of post-quantum security. In reaction to those threats, the paper investigates nextgeneration post-quantum cryptographic (PQC) solutions resistant to quantum cryptanalysis. Lattice-based cryptosystems, hash-based signature schemes, multivariate polynomial systems, and code-based cryptosystems are some of the candidates that are being considered in international standardization work, including especially at NIST. In this paper, we compare those alternatives for security, performance, scalability, and feasibility of implementation in real system. An important aspect of this contribution is a comparative study of traditional and post-quantum cryptographic protocols in the context of a number of cybersecurity applications, including secure communications, blockchain networks and IoT contexts. It also covers the quantum readiness timeline and transitional issues, such as backward compatibility, standardization lag and the associated increased computational overhead. Through a mitigated risk evaluation and cryptanalytic attack simulation based on quantum-inspired algorithms, this analysis emphasizes the need to prepare ourselves against quantum-induced security issues. It provides strategic guidance to organizations as they plan for the post-quantum future, stressing cryptographic agility, hybrid encryption models and real-time threat monitoring. Ultimately, the results of this work add to the worldwide conversation on establishing secure systems within the digital age of quantum computing and recommend proactive migration plans for the integrity, confidentiality, and trust one should have in the future cyber world.
The rapid advancement of quantum computing poses a critical threat to classical cryptographic schemes that secure modern distributed systems. As the deployment of distributed infrastructures—including blockchains, cloud-native applications, and edge networks—continues to grow, there is an urgent need to transition towards quantum-resistant security mechanisms. This paper provides a comprehensive examination of post-quantum cryptographic (PQC) algorithms and their applicability in distributed system architectures. We analyze the impact of quantum threats on key components of distributed systems such as communication protocols, identity management, data integrity, and consensus mechanisms. Furthermore, we evaluate current NIST-standardized PQC algorithms in terms of computational efficiency, scalability, and integration overhead within distributed environments. Challenges in key management, performance trade-offs, and implementation considerations are discussed. Finally, we propose best practices and future directions for secure, quantum-resilient distributed systems.
This research delves into the critical analysis of vulnerabilities arising from the advent of quantum computing in traditional cryptographic systems. Employing a newly developed mathematical formulation model, the study meticulously evaluates the susceptibility of classical encryption methods, exemplified by XYZ Bank's RSA and ECC algorithms, to quantum algorithms such as Shor's and Grover's. The assessment reveals pronounced vulnerabilities, particularly highlighting the high susceptibility of RSA encryption to quantum attacks, emphasizing the urgent need to fortify existing cryptographic systems. The research rigorously evaluates potential countermeasures, with Post-Quantum Cryptography (PQC) emerging as a promising solution, showcasing superior effectiveness in mitigating vulnerabilities posed by quantum algorithms. The strategic imperative for organizations to transition towards PQC or other post-quantum cryptographic standards is evident, signaling a paradigm shift towards resilient encryption methods resilient to the disruptive capabilities of quantum computing. The research underscores the significance of collaboration among industry stakeholders, continuous research endeavors, and proactive measures in adopting quantum-resistant cryptographic standards to fortify data security strategies against potential quantum threats in an ever-evolving technological landscape.
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.