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Advances in Electrical and Computer Engineering

Quantum Steganography Using Two Hidden Thresholds

A.-G. TUDORACHE, Vasile Manta, Simona Caraiman

Published Jan 1, 2021• 8 citations
Publisher

Abstract

This paper describes a novel steganography algorithm that combines quantum computing with the least significant bit technique (LSB). Using the quantum properties, along with the Python programming language and the Qiskit framework for the circuit simulation, a sub-image can be hidden inside a usual image. For a gray image, this article presents how the LSB of each of the first 16 pixels on the edges can be used to hide two threshold values, that are then used to filter out the image and reveal the secret message. The speedup, compared to the classical version, is possible due to the quantum representation of an image (NEQR is used in this paper) and the efficiency of the novel multi-bit quantum comparators.

DOI
10.4316/aece.2021.04009

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This paper describes a novel steganography algorithm that combines quantum computing with the least significant bit technique (LSB). Using the quantum properties, along with the Python programming language and the Qiskit framework for the circuit simulation, a sub-image can be hidden inside a usual image. For a gray image, this article presents how the LSB of each of the first 16 pixels on the edges can be used to hide two threshold values, that are then used to filter out the image and reveal the secret message. The speedup, compared to the classical version, is possible due to the quantum representation of an image (NEQR is used in this paper) and the efficiency of the novel multi-bit quantum comparators.
Several approaches and techniques exist to make communication via the internet secure, one of these approaches is steganography. Computer steganography is a technique used to conceal data within cover media, ensuring that its presence remains undetected by others. We investigate the steganography potential applications in quantum communication and assess its benefits in the context of secret information transmission. Quantum computers, built on the principles of quantum physics, have introduced new possibilities for researchers in security and computer science. This paper explores the possibilities of realizing a quantum steganography communication, the challenges and its achievements of quantum steganography to tackle a wide range of security and privacy challenges. The article deals with the steganography system which hides text inside images and after that realize quantum communication. The secret message is hidden in the cover image using Least Significant Bit (LSB) algorithm. The paper proposes an information transmission scheme with a quantum channel enabled and visualization of quantum steganography protocol.
This paper illustrates the way a proposed quantum voting scheme can be designed in combination with a steganography technique called Least Significant Bit (LSB), by modifying a small number of pixels in multiple grayscale images. It combines the voting scheme with the novel enhanced quantum representation (NEQR) of an image, where the LSBs of these pixels represent the vote for each entity that takes part in the voting process. A server is also used, not only to count but also to guarantee the integrity of the votes (which is done inherently, by its design and quantum properties). The superdense coding circuit is part of the design, allowing each voter to use one qubit in order to transmit two classical bits (the vote value). The selected platform for testing this scheme is IBM Quantum Experience, together with the open-source framework called Qiskit (written in Python). This framework allows users to create various quantum circuits, using a wide selection of quantum gates, and then to simulate them, either on a simulator or on a real quantum device. The quantum circuits and the measurement results are also presented in this paper.
One of the most considering matters in the field of quantum information processing is quantum data hiding including quantum steganography and quantum watermarking. This field is an efficient tool for protecting any kind of digital data. In this paper, three quantum color images steganography algorithms are investigated based on Least Significant Bit (LSB). The first algorithm employs only one of the image’s channels to cover secret data. The second procedure is based on LSB XORing technique, and the last algorithm utilizes two channels to cover the color image for hiding secret quantum data. The performances of the proposed schemes are analyzed by using software simulations in MATLAB environment. The analysis of PSNR, BER and Histogram graphs indicate that the presented schemes exhibit acceptable performances and also theoretical analysis demonstrates that the networks complexity of the approaches scales squarely.
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.
Several approaches and techniques exist to make communication via the internet secure, one of these approaches is steganography. Computer steganography can be defined as a method of hiding data in cover media so that others are not aware of its existence. Quantum computers, built on the principles of quantum physics, have introduced new possibilities for researchers in security and computer science. This paper explores the fundamentals of quantum computing, its achievements, and the challenges and future prospects it presents in the field of cryptography and steganography. Quantum computers give us a new approach to different kinds of complicated problems in security fields by creating multi-state computing spaces. The article deals with the steganography system which hides text inside images and after that realize quantum communication. The secret message is hidden in the cover image using Least Significant Bit (LSB) algorithm. The paper proposes an information transmission scheme with a quantum channel enabled. Quantum key distribution (QKD) is a secure communication method that implements a cryptographic protocol involving components of quantum mechanics.
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