Al-Sumaidaee, G.; Žilić, Ž. Sensing Data Concealment in NFTs: A Steganographic Model for Confidential Cross-Border Information Exchange. Sensors2024, 24, 1264.
Al-Sumaidaee, G.; Žilić, Ž. Sensing Data Concealment in NFTs: A Steganographic Model for Confidential Cross-Border Information Exchange. Sensors 2024, 24, 1264.
Al-Sumaidaee, G.; Žilić, Ž. Sensing Data Concealment in NFTs: A Steganographic Model for Confidential Cross-Border Information Exchange. Sensors2024, 24, 1264.
Al-Sumaidaee, G.; Žilić, Ž. Sensing Data Concealment in NFTs: A Steganographic Model for Confidential Cross-Border Information Exchange. Sensors 2024, 24, 1264.
Abstract
In an era dominated by rapid digitalization of sensed data, the secure exchange of sensitive information poses a critical challenge across various sectors. Established techniques, particularly in emerging technologies like the Internet of Things (IoT), grapple with inherent risks in ensuring the confidentiality and integrity of transmitted data. Blockchain technology, known for its decentralized and tamper-resistant characteristics, stands as a reliable solution for secure data exchange. However, the persistent challenge lies in protecting sensitive information amidst evolving digital landscapes. This paper explores the potential of Non-Fungible Tokens (NFTs), a manifestation of blockchain technology, as dynamic carriers for diverse forms of sensitive information among businesses beyond their conventional association with art and collectibles. Our solution leverages the immutable NFT data to serve as a secure data pointer, while the mutable NFT data holds sensitive information protected by steganography. This dual approach ensures both data integrity and authorized access, even in the face of evolving digital threats. A performance analysis validates the efficacy of the approach, highlighting its reliability, robustness, and resistance to potential attacks on hidden information, ensuring secure data transmission across industries.
Keywords
NFTs; Blockchain; Steganography; Sensors
Subject
Computer Science and Mathematics, Computer Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
