Information security can provide confidentiality, integrity, and availability for society to benefit efficiently from data storage and open networks. Free space communication networks suffer from adversaries who interfere with data on networked computers. Inventing new protection techniques has arisen to ensure integrity and authenticity of digital information. This chapter introduces Nano and Bio techniques in cryptography to enhance the information security systems. Tasks unfeasible on a classical computer can now be performed by quantum computers, yielding a big impact on online security. Threats of exponentially fast quantum algorithms on business transactions could be overcome by this new technology. Based on biological observations, the exploration of biometric cryptography and authentication to determine individuals' authenticity can be done through numeric measurements. This provides very reliable automated verification and strong protection against biometric system attacks.
Information security can provide confidentiality, integrity, and availability for society to benefit efficiently from data storage and open networks. Free space communication networks suffer from adversaries who interfere with data on networked computers. Inventing new protection techniques has arisen to ensure integrity and authenticity of digital information. This chapter introduces Nano and Bio techniques in cryptography to enhance the information security systems. Tasks unfeasible on a classical computer can now be performed by quantum computers, yielding a big impact on online security. Threats of exponentially fast quantum algorithms on business transactions could be overcome by this new technology. Based on biological observations, the exploration of biometric cryptography and authentication to determine individuals' authenticity can be done through numeric measurements. This provides very reliable automated verification and strong protection against biometric system attacks.
Information security can provide confidentiality, integrity, and availability for society to benefit efficiently from data storage and open networks. Free space communication networks suffer from adversaries who interfere with data on networked computers. Inventing new protection techniques has arisen to ensure integrity and authenticity of digital information. This chapter introduces Nano and Bio techniques in cryptography to enhance the information security systems. Tasks unfeasible on a classical computer can now be performed by quantum computers, yielding a big impact on online security. Threats of exponentially fast quantum algorithms on business transactions could be overcome by this new technology. Based on biological observations, the exploration of biometric cryptography and authentication to determine individuals' authenticity can be done through numeric measurements. This provides very reliable automated verification and strong protection against biometric system attacks.
Quantum computing is based on the principles of quantum mechanics and uses quantum bits (qubits) that can exist in a state of superposition and entanglement. They promise a revolution in computing and information security. Firstly, using quantum algorithms in information technology opens up new possibilities for processing and protecting data. Secondly, biometric information security relies on a person's unique physical and behavioural characteristics, such as fingerprints, facial recognition, iris, voice, and others. These methods provide a high level of security due to their uniqueness and difficulty in counterfeiting. Combining the principles of quantum computing and biometric information security allows us to identify their similarities and integration capabilities to create reliable systems for protecting confidential information. While previous research in biometric information security has focused on individual aspects of decision-making to ensure the information security of educational institutions when using facial recognition technologies, this work presents a comprehensive framework combining several components into a single unified system for using various quantum cryptography algorithms. The main advantages of using quantum computing in object and image detection include accelerating the computational process using quantum components, robustness at different object angles, suitability for moving or static conditions, cryptographic noise immunity, and the ability to work in real practical conditions. The advantages of the quantum cryptographic scheme for face recognition technologies include ease of implementation, high cryptography security, the ability to parallelise the processes of encoding and decoding images, and the fact that complex computer equipment is not required. The study results provide a solid foundation for developing hybrid quantum computing and biometric information security technologies. Using the possibility of hybrid computing opens up new horizons for the standardisation and public dissemination of new technologies, and such a combination ensures reliable protection of confidential information and stimulates further research aimed at improving data protection methods in the context of the rapid development of the digital world.
Quantum computing is a new technology that may result in a revolution in the way data is transferred around the globe. However, it also has quite serious risks for existing cryptographic systems and thus, many encryption methods are insecure against quantum attacks. Future security frameworks will incorporate advanced quantum cryptography to overcome these issues. The use of post-quantum algorithms post-quantum algorithms and quantum key distribution quantum key distribution based on their fundamental concepts are strong defenses, according to quantum cryptography against quantum adversaries. Quantum cryptography is also demonstrated in its application to practical scenarios in important sectors such as infrastructure, healthcare, banking, and defense. Quantum cryptography and its potential to improve the global cybersecurity ecosystems through the integration of cutting-edge research and feasible methods of implementation are presented. It also describes the functions of quantum cryptography in securing private communications, maintaining data reliability, and handling the peculiar challenges of quantum threats. This work also focuses on how quantum cryptography is transforming security concepts and how this transformation is necessary to ensure the future of communication networks. The study reveals how quantum cryptography can transform the way secure communications are established and form the foundation of the digital society through the integration of theoretical ideas and practical applications.
QKD, ECC, PQC, SMPC, and biometric-based authentication are examined in this work as essential information-theoretic security approaches. Each solution improves information-theoretic security by improving communication, error reduction, quantum-resistant cryptography, project collaboration, and identity verification. Quantum Key Distribution employs quantum entanglement and regular transmission to secure key exchange in a 12-step flowchart. Error-Correcting Code Implementation employs Reed-Solomon codes to discover and rectify errors in delivered messages in 10 steps, protecting data. Post-Quantum Cryptography uses a 10-step graphic to demonstrate lattice-based solutions for post-quantum security and secure communication. A 10-step “safe multi-party computing” procedure enables individuals to collaborate on a computer project while safeguarding their privacy. It uses homomorphic encryption to secure protected data computations. Biometric authentication employs biometric data to verify a person's name in 10 steps with complicated arithmetic. Tables and graphs indicate that the information-theoretic approach outperforms other security techniques in key size, quantum attack resistance, authentication strength, and total security. These results demonstrate that the suggested strategy may considerably increase information-theoretic security in many scenarios. The response to the developing field of information security is robust.
Artificial Intelligence (AI) combined with Bio-Quantum Computing is a revolutionary method of improving data security and encryption in virtual environments. Through the use of quantum mechanics and AI-optimized optimization, this combination strengthens cryptographic methods against future cyber threats. Current encryption algorithms like RSA and AES are vulnerable due to the advancement of Bio-Quantum Computing, which can decrypt conventional cryptographic algorithms. Additionally, traditional security systems are not able to adapt in real-time to advanced cyber-attacks. To meet these demands, the suggested framework combines AI with Quantum Key Distribution (AI -QKD). The QKD provides unbreakable key exchange cryptography using quantum properties, whereas AI optimizes encryption protocols in real time through threat analysis, providing heightened security resilience. This technique is used in virtual world transaction security, identity authentication, and secret communications. The AI-based mechanism flexibly adjusts encryption parameters in real time, preventing quantum attacks and increasing the integrity of the overall data. Findings reveal that the new approach enhances the robustness of encryption immensely, lowers risks of key compromise, and makes virtual interactions secure. The fusion of AI and QKD reflects high adaptability, making the encryption systems quantum-resistant and future-proof. The new approach achieves the data integrity by 98.70%, key compromise risks by 45.31%, adaptability by 97.63%.
The rapid advancements in quantum computing pose a significant threat to traditional cryptographic protocols, endangering the security of financial transactions and sensitive business data. Existing encryption mechanisms, such as RSA, ECC, and Diffie-Hellman, rely on mathematical problems that quantum algorithms, particularly Shor's algorithm, can efficiently solve. As financial institutions and enterprises increasingly adopt artificial intelligence (AI) for data-driven decision-making and cybersecurity, the need for quantum-resistant cryptographic protocols becomes paramount. This study explores the evolution of post-quantum cryptography (PQC) and its implications for securing financial transactions and business data in the AI era. Post-quantum cryptographic algorithms are designed to withstand quantum attacks while maintaining efficiency and scalability for real-world applications. Lattice-based cryptography, code-based encryption, hash-based signatures, and multivariate polynomial cryptosystems are among the leading PQC approaches. Lattice-based schemes, such as CRYSTALS-Kyber and CRYSTALS-Dilithium, offer robust security guarantees and are actively being standardized by the National Institute of Standards and Technology (NIST). Additionally, hash-based signatures, such as XMSS and SPHINCS+, provide strong resistance against quantum threats while ensuring long-term data integrity. The integration of AI into financial systems necessitates quantum-resistant security mechanisms to protect sensitive business data from cyber threats. AI-driven fraud detection, transaction authentication, and anomaly detection systems must incorporate PQC to prevent unauthorized access and mitigate quantum-enabled attacks. Secure communication protocols, including TLS and blockchain-based financial networks, require quantum-safe encryption to maintain data confidentiality and integrity. Despite the promising advancements in PQC, challenges such as computational overhead, key size expansion, and backward compatibility with classical systems remain. Transitioning to quantum-resistant cryptography requires a phased approach, incorporating hybrid encryption models that combine classical and post-quantum algorithms. This study underscores the urgency of adopting PQC to safeguard financial transactions and business data in the AI-driven digital economy.