Perspective Chapter: Quantum Steganography – Encoding Secrets in the Quantum Domain

Author:

Agrawal Arun,Soni Rishi,Tomar Archana

Abstract

The chapter provides a comprehensive overview of the evolving field of quantum steganography, highlighting its potential impact on information security in the age of quantum computing. Steganography, rooted in ancient practices, has traditionally concealed data within classical computing systems, but the emergence of quantum computing poses new challenges. Quantum steganography adapts classical principles to leverage the unique properties of quantum mechanics, employing quantum bits (qubits), superposition, and entanglement for secure data concealment. The abstract delves into the conceptual framework of a quantum steganography algorithm, emphasizing its complexity and the integration of quantum key distribution for enhanced security. The applications span secure communication, medical records, financial transactions, military defense, intellectual property protection, and more. Despite promising prospects, quantum steganography faces challenges such as quantum state fragility and hardware constraints, requiring ongoing research to unlock its full potential in safeguarding sensitive information.

Publisher

IntechOpen

Reference40 articles.

1. Danezis G, Domingo-Ferrer J, Hansen M, Hoepman J-H, Le Metayer D, Tirtea R, et al. Privacy and data protection by design: From policy to engineering (report). Retrieved from the Publications Office of the European Union Website. 2014. DOI: 10.2824/38623

2. Mawla NA, Khafaji HK. Enhancing data security: A cutting-edge approach utilizing protein chains in cryptography and steganography. Computers. 2023;(8):166

3. Sinha N, Bhowmick A, Kishore B. Encrypted information hiding using audio steganography and audio cryptography. International Journal of Computer Applications. 2015;(5):49-53

4. Pathak A. Elements of Quantum Computation and Quantum Communication. Boca Raton, FL: CRC Press, Taylor & Francis Group; 2013

5. Li S, Chen Y, Chen L, Liao J, Kuang C, Li K, et al. Post-quantum security: Opportunities and challenges. Sensors. 2023;(21):8744

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3