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Approximation-based homomorphic encryption for secure and efficient blockchain-driven watermarking service

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 13 No. 4 (2023)

DOI
10.11591/ijece.v13i4.pp4388-4400
ISSN
2722-2578, 2088-8708
Published
2023-08-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Homomorphic encryption has been widely used to preserve the privacy of watermarking process on blockchain-driven watermarking services. It offers transparent and traceable encrypted watermarking without revealing sensitive data such as original images or watermark data to the public. Nevertheless, the existing works suffer from enormous memory storage and extensive computing power. This study proposed an approximation-based homomorphic encryption for resource-efficient encrypted watermarking without sacrificing watermarking quality. We demonstrated the efficiency of the Cheon-Kim-Kim-Son (CKKS) encrypted watermarking process using discrete cosine transform-singular value decomposition (DCT-SVD) embedding. The evaluation results showed that it could preserve the watermarking quality similar to non-encrypted watermark embedding, even after geometrical and filtering attacks. Compared to existing homomorphic encryption, such as Brakerski-Gentry-Vaikuntanathan (BFV) encryption, it has superior performance regarding resource utilization and watermarking quality preservation.

Collaboration network of the authors

27 authors · 83 co-authorship links · 27 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • National Research and Innovation Agency
  • Indonesian Institute of Sciences
  • Institut Teknologi Telkom Purwokerto
  • Tadulako University
  • Bandung Institute of Technology
  • Politeknik Negeri Lhokseumawe
  • Universitas Syiah Kuala
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Iwan Rizal SetiawanNational Research and Innovation Agency3
Hadi SusantoNational Research and Innovation Agency2
Taufik Ibnu SalimNational Research and Innovation Agency2
Muhammad Fajar SidiqAffiliation unknown1
Halim FirdausInstitut Teknologi Telkom Purwokerto1
Muhammad Aldi BaihaqiInstitut Teknologi Telkom Purwokerto1
Ninon Nurul FaizaBandung Institute of Technology1
Marini WulandariAffiliation unknown1
Arti Dian NastitiAffiliation unknown1
Hartanto KurniawanAffiliation unknown1
Marini WulandariNational Research and Innovation Agency1
Arti Dian NastitiNational Research and Innovation Agency1
Hartanto KurniawanNational Research and Innovation Agency1
Agustami SitorusIndonesian Institute of Sciences1
Eko Kuncoro PramonoIndonesian Institute of Sciences1
Ari RahayuningtyasIndonesian Institute of Sciences1
Novita Dwi SusantiIndonesian Institute of Sciences1
Irwin Syahri CebroPoliteknik Negeri Lhokseumawe1
Ramayanty BulanUniversitas Syiah Kuala1
Rachmat HidayatNational Research and Innovation Agency1
Abdul Mahatir NajarTadulako University1
Agus Indra JayaTadulako University1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Approximation-based homomorphic encryption for secure and efficient blockchain-driven watermarking service</dc:title><dc:creator>Rosiyadi, Didi</dc:creator><dc:creator>Basuki, Akbari Indra</dc:creator><dc:creator>Ramdhani, Taufik Iqbal</dc:creator><dc:creator>Susanto, Heru</dc:creator><dc:creator>Siregar, Yusnan Hasani</dc:creator><dc:description>&lt;jats:p&gt;&amp;lt;p&amp;gt;Homomorphic encryption has been widely used to preserve the privacy of watermarking process on blockchain-driven watermarking services. It offers transparent and traceable encrypted watermarking without revealing sensitive data such as original images or watermark data to the public. Nevertheless, the existing works suffer from enormous memory storage and extensive computing power. This study proposed an approximation-based homomorphic encryption for resource-efficient encrypted watermarking without sacrificing watermarking quality. We demonstrated the efficiency of the Cheon-Kim-Kim-Son (CKKS) encrypted watermarking process using discrete cosine transform-singular value decomposition (DCT-SVD) embedding. The evaluation results showed that it could preserve the watermarking quality similar to non-encrypted watermark embedding, even after geometrical and filtering attacks. Compared to existing homomorphic encryption, such as Brakerski-Gentry-Vaikuntanathan (BFV) encryption, it has superior performance regarding resource utilization and watermarking quality preservation.&amp;lt;/p&amp;gt;&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2023-08-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v13i4.pp4388-4400</dc:identifier><dc:identifier>10.11591/ijece.v13i4.pp4388-4400</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 13 No 4 (2023); 4388</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>https://ijece.iaescore.com/index.php/IJECE/article/viewFile/29224/16719</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>