This paper focuses on defining specific scenarios for quantum-safe underwater communication to drive security requirements. The maritime environment in general and the underwater domain in particular have unique constraints and require the use of specialized cryptographic techniques. The two scenarios presented are underwater harbor protection and anti-submarine warfare. Employing post-quantum cryptographic algorithms in these use cases enhances security and maintains the integrity of sensor data. This research contributes to strengthening underwater communication security through advancements in acoustic cryptography, error correction codes, adaptive modulation, and energy-efficient algorithms.
This paper focuses on defining specific scenarios for quantum-safe underwater communication to drive security requirements. The maritime environment in general and the underwater domain in particular have unique constraints and require the use of specialized cryptographic techniques. The two scenarios presented are underwater harbor protection and anti-submarine warfare. Employing post-quantum cryptographic algorithms in these use cases enhances security and maintains the integrity of sensor data. This research contributes to strengthening underwater communication security through advancements in acoustic cryptography, error correction codes, adaptive modulation, and energy-efficient algorithms.
Underwater communication, with its unique characteristics of throughput, delay, error rates, and communicating nodes, often constrained by battery power, presents a significant challenge. In the face of a quantum threat to cryptography, the need to correctly choose quantum-safe cryptographic schemes and key management protocols capable of meeting underwater communication constraints has become crucial. Our paper addresses the topic of securing underwater communication, and more generally, the topic of securing a constrained network. It analyses available post-quantum cryptographic solutions and assesses their applicability to underwater information exchange.
Communication in an underwater environment presents many challenges, due to its unique characteristics of throughput, delay, and error rates. The acoustic channels commonly used for underwater communication have inherent broadcast characteristics and require non-trivial solutions to achieve secure and authenticated communications. The complexity of security challenges is further increased by the ongoing transition to quantum-resistant cryptography. Our paper discusses post-quantum cryptographic solutions for underwater broadcast communication scenarios. Specifically, we present and analyze solutions for sender authentication and key management based on private key cryptography and discuss perfect forward secrecy of communication keys, taking into consideration the constraints of the underwater environment.
As quantum computing progresses towards practical realization, the security of existing cryptographic protocols, such as RSA and Elliptic Curve Cryptography (ECC), faces unprecedented risks. Quantum algorithms like Shor's Algorithm threaten to undermine the security of these widely used encryption schemes, necessitating the development of quantum-resistant alternatives. This paper explores the vulnerabilities of current cryptographic protocols in the quantum era and investigates quantum-safe cryptographic techniques such as lattice-based, hash-based, and code-based cryptography. Additionally, we delve into Quantum Key Distribution (QKD), a method that leverages the principles of quantum mechanics to securely distribute cryptographic keys, ensuring secure communication even in the presence of quantum adversaries. The integration of QKD with post-quantum cryptographic algorithms is proposed as a robust approach to future-proofing cybersecurity. The paper concludes with a discussion of practical challenges in implementing quantum-safe systems and highlights future research directions to strengthen cryptographic resilience against quantum threats.
The rapid advancement of quantum computing poses a significant threat to the confidentiality and integrity of classified and defense communications. Quantum algorithms have the potential to undermine widely deployed public key cryptographic schemes, exposing sensitive military and governmental information to interception and decryption. Foundational work in quantum cryptography has demonstrated that the principles of quantum mechanics can be leveraged to achieve fundamentally secure key distribution, offering a promising countermeasure to quantum-enabled attacks (Bennett & Brassard, 2014; Ekert, 1991). As defense communication systems increasingly rely on longterm data confidentiality, the urgency of transitioning toward quantum-resilient security architectures has become a strategic priority. Despite their widespread adoption, classical cryptographic mechanisms are increasingly vulnerable in the post-quantum era. Studies on post-quantum cryptography have shown that many conventional encryption and key exchange algorithms are susceptible to quantum adversaries, necessitating the development and standardization of new cryptographic primitives (Chen et al., 2016). Ongoing standardization efforts further highlight the complexity of migrating large-scale, mission-critical systems to quantum-safe solutions, particularly within defense environments where interoperability, reliability, and assurance requirements are stringent (Alagic et al., 2025). In parallel, artificial intelligence has emerged as a powerful enabler of advanced security analytics. Machine learning and deep learning techniques enhance intrusion detection, anomaly identification, and adaptive response capabilities within complex communication infrastructures (Buczak & Guven, 2016). Recent research also demonstrates that AI can be applied directly within quantum cryptographic systems, for example by improving signal processing, error correction, and performance optimization in quantum key distribution implementations (Chin et al., 2021). The convergence of quantum cryptography and AIdriven analytics therefore offers a complementary and proactive approach to securing defense communications against both classical and quantum threats. This paper analyzes the integration of quantum cryptography and artificial intelligence as a unified framework for protecting classified and defense communications. It synthesizes advances in quantum key distribution, post-quantum cryptography, and AI-based security analytics, and proposes an integrated perspective that enhances resilience, detection capability, and operational robustness. The study highlights key implications for defense communication systems, emphasizing how AI-enhanced quantum security architectures can support long-term confidentiality, adaptive defense, and strategic cyber resilience in the evolving threat landscape (Sarker et al., 2021).
The rapid proliferation of Internet of Things (IoT) devices has revolutionized digital communication, yet it simultaneously poses unprecedented security challenges due to constrained device capabilities and increasing cyber threats. Conventional cryptographic techniques, while currently effective, are vulnerable to emerging quantum computing technologies that threaten to render classical encryption obsolete. This paper explores the integration of quantum-safe cryptographic techniques within IoT networks to ensure long-term confidentiality, integrity, and authentication. It examines post-quantum cryptographic primitives, including lattice-based, hash-based, multivariate, and code-based schemes, and evaluates their suitability for resource-constrained IoT environments. The study focuses on lightweight implementation strategies, balancing computational efficiency with robust security requirements. Simulation analyses demonstrate that properly optimized quantum safe protocols can provide resilient encryption, key exchange, and digital signature functionalities without overwhelming device resources. Furthermore, the integration of these techniques with IoT communication standards and secure network protocols ensures end-to-end protection across heterogeneous networks. Challenges such as latency, energy consumption, and scalability are addressed, highlighting the necessity of tailored cryptographic solutions for diverse IoT applications. The findings confirm that quantum safe cryptography is essential for future-proofing IoT networks, offering sustainable security measures that remain resilient against both classical and quantum adversaries, thereby supporting the continued expansion of secure and intelligent interconnected systems.
The emergence of quantum computing presents both significant opportunities and critical challenges for modern cybersecurity. While quantum systems promise advances in science, engineering, and artificial intelligence, they also pose a substantial threat to classical cryptographic techniques such as RSA, ECC, and other widely deployed public-key mechanisms. Quantum algorithms including Shor’s and Grover’s are expected to compromise these systems, placing sensitive data, financial infrastructures, and national security at risk. This paper examines the growing field of quantum-resistant, or post-quantum, cryptography with a focus on identifying constructions capable of withstanding quantum attacks. It provides a systematic overview of major post-quantum cryptographic families, including lattice-based, hash-based, code-based, multivariate, and isogeny-related schemes, and evaluates their current security assumptions, practical efficiency, and readiness for real-world deployment. Beyond technical considerations, the paper highlights the organizational and workforce implications of transitioning to quantum-safe systems, emphasizing the need for coordinated global standards and sustained cybersecurity training. This study underscores that building a quantum-secure digital future requires not only adopting resilient algorithms but also strengthening collaborative, adaptive, and proactive security practices.