The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Two-Dimensional Memristive Hyperchaotic Maps and Application in Secure Communication
Abstract
Continuous memristor has been widely used in chaotic oscillating circuits and neuromorphic computing systems. However, discrete memristor and its coupling discrete map have not been noticed yet. This article presents a discrete memristor and constructs a general two-dimensional memristive map model by coupling the discrete memristor with an existing discrete map. The pinched hysteresis loops of the discrete memristor are demonstrated. Four examples of memristive discrete maps are provided and their coupling strength-relied and memristor initial-boosted complex dynamics are investigated using numerical measures. The evaluation results manifest that the discrete memristor can enhance the chaos complexity and its coupling maps can generate hyperchaos. Particularly, the hyperchaotic sequences can nondestructively be controlled by memristor initial state and the initial-controlled hyperchaos is robust, which is applicable to many chaos-based applications. Additionally, we develop a hardware platform to implement the memristive maps and acquire the four-channel hyperchaotic sequences. We also apply the memristive maps to the application of secure communication and the experiments show that the memristive maps display better performance than some existing discrete maps.
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Citations
Cites
Training and operation of an integrated neuromorphic network based on metal-oxide memristors
Prezioso, M., Merrikh-Bayat, F., Hoskins, B. D., Adam, G. C., Likharev, K. K., & Strukov, D. B. (2015) · Nature · doi:10.1038/nature14441 · Cited by 3,001
If it's pinched it's a memristor
Chua, L. (2014) · Semiconductor Science and Technology · doi:10.1088/0268-1242/29/10/104001 · Cited by 685 · cited 2×
“the memristor can be memorized by regulating the electric charge or magnetic flux [2].”
BackgroundMethodCryptanalyzing an image encryption algorithm based on autoblocking and electrocardiography
Li, C., Lin, D., Lü, J., & Hao, F. (2018) · IEEE MultiMedia · doi:10.1109/mmul.2018.2873472 · Cited by 261
Cryptanalysis of an image block encryption algorithm based on chaotic maps
Ma, Y., Li, C., & Ou, B. (2020) · Journal of Information Security and Applications · doi:10.1016/j.jisa.2020.102566 · Cited by 100
Cited by
Brain-Like Initial-Boosted Hyperchaos and Application in Biomedical Image Encryption
Lin, H., Wang, C., Cui, L., Sun, Y., Xu, C., & Yu, F. (2022) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2022.3155599 · Cited by 291
Discrete memristive neuron model and its interspike interval-encoded application in image encryption
Bao, H., Hua, Z., Liu, W., & Bao, B. (2021) · Science China Technological Sciences · doi:10.1007/s11431-021-1845-x · Cited by 85
Self-citationAn optical remote sensing image encryption algorithm for sensitive targets in sea-related scenes
Peng, Y., Xu, W., Parastesh, F., Li, Z., Li, C., & Wang, C. (2024) · Nonlinear Dynamics · doi:10.1007/s11071-024-09905-0 · Cited by 17
Yan, W., & Ding, Q. (2025) · Nonlinear Dynamics · doi:10.1007/s11071-024-10526-w · Cited by 10
Metadata
- Authors
- Li, H., Hua, Z., Bao, H., Zhu, L., Chen, M., & Bao, B.
- Venue
- IEEE Transactions on Industrial Electronics
- Published
- 2021-10
- Volume
- 68
- Issue
- 10
- Pages
- 9931-9940
- ISSN
- 0278-0046 (ISSN-L)
- 1557-9948
- OpenAlex
- W3119717233
- Cited by
- 287
- References
- 4
- FWCI
- 15.97
- Type
- journal article
- Language
- en
- Open access
- closed
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