Towards Robust Computation on Encrypted Data

Giovanni Di Crescenzo, Brian Coan, Jonathan Kirsch

Omar H.Ali Kamel, Atef Tayh Nour El-Din Raslan, Tarek Aly +1 more

This paper delves into the realm of quantum computing and its potential to revolutionize data encryption methodologies. Leveraging IBM's Qiskit tool, we investigate encryption approaches aimed at bolstering data security. Commencing with a foundational elucidation of quantum computing and its pivotal role in encryption, we subsequently conduct a comparative analysis between classical binary encryption and quantum encryption methodologies. This analysis includes a practical demonstration of quantum encryption implementation utilizing Qiskit, underscoring the robustness and heightened security offered by quantum-based encryption techniques. Throughout this exploration, we address pertinent challenges encountered in the field, such as the limitations inherent in existing quantum hardware, while also outlining prospective directions for advancement. By the conclusion of this paper, readers will discern the profound implications of quantum computing in shaping the future landscape of encryption technology.

Pooya Farshim, Benoît Libert, Kenneth G. Paterson +1 more

B S Spoorthi

In the realm of cybersecurity, the demand for robust encryption and secure data hiding techniques has intensified with the proliferation of digital communication and sensitive information exchange. This paper explores integration of QC advancements for enhancing the security of two critical cryptographic applications: Advanced Encryption Standard (AES) encryption and Least Significant Bit (LSB) image steganography. Quantum computing introduces the concept of qubits, which harness quantum mechanical phenomena to perform computations that classical computers struggle to achieve efficiently. By leveraging qubits, AES encryption can potentially benefit from enhanced key generation and encryption processes, thereby strengthening data confidentiality against conventional and future quantum attacks. Additionally, this paper investigates the application of quantum-inspired techniques to optimize the LSB method in image steganography. LSB embedding involves hiding data within LSB of image pixels, technique vulnerable to statistical attacks. Quantum-inspired approaches aim to mitigate these vulnerabilities by improving embedding efficiency and robustness without compromising image quality. Through theoretical analysis and simulation studies, this research evaluates the feasibility and potential benefits of integrating quantum computing into AES encryption and LSB steganography. The findings underscore the promise of quantum-enhanced methods in fortifying data security across digital platforms, laying the groundwork for future advancements in quantum cryptography and information hiding techniques.

Tal Malkin

Harjeet Singh

This chapter discusses the urgency for corporations and government bodies to enforce robust cybersecurity measures to combat impending quantum computing threats. Primarily, the “Harvest Now, Decrypt Later” concept has been spotlighted, where hackers store encrypted data today to decrypt the same with future quantum technologies. This poses a significant threat as quantum computers can break current encryption techniques at a much faster pace. To provide a robust counter-solution, researchers are developing new quantum-resistant cryptographic protocols. The deployment of quantum-safe cryptography now is fundamental to prevent future security breaches, even if quantum computers capable of breaking existing encryption are still in their infancy. Implementing quantum-safe security measures thus becomes pivotal to protecting data now and in the future.