A DNA Computation-Based Image Encryption Scheme for Cloud CCTV Systems
Open accessAbstract
With the rapid development of information technology, huge amounts of images stored in cloud-based CCTV systems. How to protect the transmitted image efficiently and reducing the storage cost for the system become to critical research issues. The concept of DNA computing has been intrigued researchers in recent years. It has many potentials, for example, the high density and low cost storage provided by a double stranded DNA; or a realization of low cost parallel computation to solve non-deterministic polynomial time problem using replication of DNA strands. As a result, a vast number of theoretical studies of the application of DNA computing on information security, which require extensive computation power, has been published. In this paper we study DNA computation based image encryption scheme which applies to cloud CCTV system. In many different image encryption research the artifact hyperchaotic map was used. We proposed an image encryption algorithm based on DNA coding and hyperchaotic map which utilizes the chaotic property of the hyperchaotic map on top of DNA computing. Experiment showed that our algorithm is more secure and more computation efficient than some of the recent similar works.
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Classical hybrid cryptosystems combine a symmetric image cipher with asymmetric key transport such as ElGamal, ECC, Hill cipher variants or RSA, all of which are broken in polynomial time by Shor's algorithm.
“Second, classical hybrid cryptosystems [32][33][34][35][36][37][38] consist of a combination of a symmetric image cypher and asymmetric key transport, which is either ElGamal, ECC, Hill cypher variants or RSA; all of which are the weakest links broken in polynomial time by Shor's algorithm.”
From A hybrid encryption algorithm based on AES and Kyber for secure image protection in the post-quantum era (2026) · cites this paper as [34]
The Introduction and Conclusion describe an image-encryption scheme based on hyperchaotic maps and DNA coding, not a classical hybrid cryptosystem. Searches for asymmetric key transport, ElGamal, ECC, Hill cipher variants, RSA, and Shor’s algorithm found no passage in our copy addressing the attributed claim. (LLM, conf=0.76)
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- Authors
- Wu, T.-Y., Fan, X., Wang, K.-H., Lai, C.-F., Xiong, N., & Wu, J. M.-T.
- Affiliations
- Fujian University of Technology (CN)
- Huawei Technologies (China) (CN)
- Hong Kong University of Science and Technology (HK)
- National Cheng Kung University (TW)
- Tianjin University (CN)
- Shandong University of Science and Technology (CN)
- Venue
- IEEE Access
- Published
- 2019
- Volume
- 7
- Pages
- 181434-181443
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2979742012
- Cited by
- 23
- References
- 47
- Citations by year
- 2026: 3 · 2025: 1 · 2024: 2 · 2023: 4 · 2022: 5 · 2021: 6 · 2020: 2
- FWCI
- 1.46
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- IEEE Access (publishedVersion, cc-by)
- Rare & Special e-Zone (The Hong Kong University of Science and Technology) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Natural Science Foundation of Fujian Province (2018J01636)
- Science and Technology Development Center, Ministry of Education, China (2017A13025)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Chaos-based Image/Signal Encryption
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › DNA and Biological Computing
- Physical Sciences › Computer Science › Artificial Intelligence › Computer Science and Engineering
- Keywords
- DNA computing, image encryption, hyperchaotic map, DNA coding, chaos-based cryptography, image security, storage cost reduction
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