Quantum computing has advanced rapidly, posing a major threat to RSA, ECC, and other standard cryptographic techniques. The related research delves into encryption with advanced technology FrodoKEM a lattice-based quantum resistant algorithm implementation embedded into a Spring Boot framework for secure encryption and decryption. The study compares the three types of encryption systems: conventional (AES-256 and RSA-2048) and quantum-resistant in terms of performance, security and practicability. Setup overview and final compliance summary of both the encryption and decryption functions using the Bouncy Castle PQC library. These findings show that while FrodoKEM offers strong quantum security, signing this proof incurs significant computational overhead, especially with respect to key generation time (1200 ms vs.0063 ms for AES-256). FrodoKEM is much faster than RSA-2048 when it comes to encrypting data, but it is nonetheless slower than AES-256. This study demonstrates the necessity of optimized quantum-sensitive encodings and discusses probable correlations including cloud computing, IoT security, regulatory conformity [15]. FrodoKEM is a strong candidate for future-proof encryption, but optimizations are still necessary before its deployment is practical. The quantum revolution of tomorrow brings with it a whole new set of challenges and the necessity for new solutions, highlighting the continuing role of post-quantum cryptography in our secure online lives
Quantum computing has advanced rapidly, posing a major threat to RSA, ECC, and other standard cryptographic techniques. The related research delves into encryption with advanced technology FrodoKEM a lattice-based quantum resistant algorithm implementation embedded into a Spring Boot framework for secure encryption and decryption. The study compares the three types of encryption systems: conventional (AES-256 and RSA-2048) and quantum-resistant in terms of performance, security and practicability. Setup overview and final compliance summary of both the encryption and decryption functions using the Bouncy Castle PQC library. These findings show that while FrodoKEM offers strong quantum security, signing this proof incurs significant computational overhead, especially with respect to key generation time (1200 ms vs.0063 ms for AES-256). FrodoKEM is much faster than RSA-2048 when it comes to encrypting data, but it is nonetheless slower than AES-256. This study demonstrates the necessity of optimized quantum-sensitive encodings and discusses probable correlations including cloud computing, IoT security, regulatory conformity [15]. FrodoKEM is a strong candidate for future-proof encryption, but optimizations are still necessary before its deployment is practical. The quantum revolution of tomorrow brings with it a whole new set of challenges and the necessity for new solutions, highlighting the continuing role of post-quantum cryptography in our secure online lives
The advent of quantum computing poses a significant challenge to conventional cryptographic methods such as RSA, Elliptic Curve Cryptography (ECC), and Diffie-Hellman key exchange. Quantum algorithms, particularly Shor’s algorithm, have the potential to break these encryption techniques, making it essential to develop cryptographic approaches that can withstand quantum threats. Post-quantum cryptography (PQC) has emerged as a crucial area of research, aiming to establish cryptographic mechanisms that remain secure even in the presence of quantum adversaries. This study presents a detailed comparative analysis of five primary categories of quantum-resistant cryptographic algorithms: lattice-based, code-based, hash-based, multivariate polynomial, and isogeny-based encryption schemes. Each of these approaches offers distinct advantages and challenges in terms of security, efficiency, and implementation feasibility. Among them, lattice-based cryptography has gained significant attention due to its robust security properties and computational efficiency, making it a strong candidate for standardization. Conversely, code-based cryptography provides high security but is hindered by its large key sizes, affecting its practical deployment. The research includes a real-time performance assessment of selected PQC algorithms, analyzing key factors such as encryption speed, key size, and computational demands. Furthermore, the study examines the challenges associated with transitioning from classical encryption standards to quantum-resistant frameworks, including compatibility constraints, computational overhead, and the necessity for global standardization. Potential mitigation approaches, such as hybrid cryptographic techniques that integrate both classical and post-quantum encryption models, are also explored. Our findings emphasize that while quantum-resistant cryptography is still evolving, early adoption of PQC frameworks is essential for safeguarding future communication networks. This paper provides valuable insights for researchers, cybersecurity professionals, and policymakers on strategic measures to implement quantum-secure encryption systems effectively.
The fact that modern cryptographic systems are susceptible to a significant attack from quantum computing which solves complex mathematical problem exponentially faster than the classical scheme of computers makes the present situation a dangerous one. Legacy encryption methods including RSA, ECC, and AES that are the heart of secure communication are especially susceptible to quantum attacks such as Shor’s and Grover’s algorithms. To mitigate this potential threat, this research puts forth state of the art quantum-resistant technologies inclusive of lattice based cryptography and hash based signature solutions. The Lattice-Hash Hybrid method that is proposed, improves security by exploiting the computational intractability of lattice problems and the collision resistance of the hash functions, making it very hard to crack the system using quantum decryption algorithms. In the study, a comparative analysis of the proposed method with traditional lattice-based, hash-based and code-based cryptographic methods is performed. Experimental results suggest that the proposed algorithm features better encryption speed, decreased decryption latency, and increased security level as compared with the current state of the art. The results emphasize the need for the implementation of cutting edge electronic cryptography strategies to protect integrity and confidentiality of data in the days to come within the context of quantum computing. Further research will concentrate on optimizing the proposed techniques further and bringing them to real-world deployment.
With the current increase in the rate of quantum computing, traditional cryptographic algorithms face a significant risk of compromise, as they are based on mathematical problems that quantum algorithms can efficiently solve. One solution to this challenge has come up in the form of post-quantum cryptography (PQC). By having a hybrid encrypted solution that combines the two different encryption algorithms, NTRU quantum-resistant and fast AES symmetric-key, with a well-integrated combination presented in this paper, we aim to usher in secure and safe data in the post-quantum era. This mixed regime is the most advanced approach that combines classical and quantum encryption. We compare the performance of the system with that of standalone AES, NTRU, and RSA-based systems, examining aspects such as encryption, decryption, key generation, and key size. Benchmarks indicate that the hybrid system has an overhead, but its performance is passable; encryption times are 60ms and 14000ms for 1 KB and 5000 KB of data, respectively, compared to 12ms for 1 KB and 50ms for 5000 KB by AES and NTRU. The same can be said about decryption, with the hybrid system being more efficient than NTRU but still slower than AES. The NTRU key generation times were depicted as unfavorable compared to those of AES, and this margin was seen to increase as the key sizes of NTRU were varied. Compared to executing the same algorithm on a classical computer, the hybrid system is relatively computationally expensive but offers strong quantum resistance. A hybrid encryption system based on the AES-NTRU is a solution to the quantum computing threat to data security. Later projects will be based around various efforts to optimize the NTRU system, also including hardware acceleration opportunities and an increase in the system utilization in real-life environments.
With quantum computing technology getting better and faster, many current encryption methods may no longer be safe. One major concern is the SNDL or “Store Now, Decrypt Later” attack [1]. In this scenario, attackers collect and store encrypted data now, planning to decrypt it in the future once quantum computers become strong enough. This is especially risky for public-key systems like RSA and Elliptic Curve Cryptography [2]. This research focuses on how to keep data safe during the time before post-quantum cryptographic standards are fully rolled out. We review and compare several existing encryption methods. RSA is discussed in terms of its known weaknesses and how it is still used in some hybrid systems. AES, especially AES-256, is looked at for its better performance and stronger protection even in a post-quantum world. We also explore hybrid systems that mix different methods to cover up each other's weak spots. Lastly, we present a new layered hybrid model that brings together classical and post-quantum techniques. The proposed system uses PQC for authentication, Quantum Key Distribution for secure key exchange, and AES for encrypting the actual data.
The rapid progress of quantum computing is changing the assumptions on which many modern security systems are built. Public-key methods such as RSA and Elliptic Curve Cryptography (ECC) remain dependable against conventional computers, yet their underlying mathematical problems can be solved efficiently by a sufficiently capable quantum computer using algorithms such as Shor's algorithm. This creates a practical need to evaluate cryptographic techniques that can continue to protect information in a post-quantum environment. This study compares representative classical algorithms - RSA, ECC, and the Advanced Encryption Standard (AES) - with post-quantum approaches, with particular attention to CRYSTALS-Kyber and CRYSTALS-Dilithium. The comparison considers security assumptions, key-generation cost, encryption and decryption time, key size, memory demand, and resistance to quantum attacks. The reported benchmark values indicate that RSA has the highest processing cost among the evaluated schemes, whereas CRYSTALS-Kyber provides comparatively fast key generation, encryption, and decryption while maintaining resistance to known quantum attacks. The study also discusses a hybrid migration model in which established classical mechanisms and post-quantum algorithms operate together during the transition period. Overall, the findings support a gradual move toward quantum-resistant communication systems while recognising the deployment and storage overhead introduced by larger post-quantum keys.
The rise of cloud computing has transformed data storage and processing but introduced new vulnerabilities, especially with the impending threat of quantum computing. Traditional cryptographic methods, though currently effective, are at risk of being compromised by quantum attacks. This research aims to develop a quantum-resistant security framework for cloud environments, combining lattice-based cryptography with Quantum Key Distribution (QKD) protocols, particularly the E91 protocol, for secure key management. The framework also incorporates quantum authentication protocols to enhance user identity verification, protecting against unauthorized access and tampering. The proposed solution balances robust security with practical implementation, ensuring scalability and efficiency in real-world cloud environments. Performance evaluations indicate an encryption time of approximately 30 milliseconds, outperforming existing methods such as RSA and DES. This research contributes to the development of future-proof cryptographic standards, addressing both current security challenges and emerging quantum computing threats. By leveraging quantum mechanics, the framework strengthens cloud-based data protection, providing a resilient solution against evolving cyber risks. The results hold significant promise for advancing cloud security, laying the groundwork for next-generation encryption techniques that can withstand the threats posed by quantum computing.