A Novel Homomorphic Encryption and an enhanced DWT (NHE-EDWT) compression of crop images in agriculture field

Kulalvaimozhi, V. P.; Alex, M. Germanus; Peter, S. John

doi:10.1007/s11045-019-00660-9

Cited by 6 publications

(1 citation statement)

References 8 publications

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“…Perumal et al [20] realized data security of different smart devices in farmland by using data encryption schemes, which used different encryption schemes and keys to encrypt data of farmland devices controlled by users, thus achieving higher accuracy of low-rate attack detection. A new homomorphic encryption algorithm is proposed by Kulalvaimozhi et al [21], which combined with the compression process to encrypt field crop images, reducing the encryption time and preserving high-quality reconstructed images. A method combining Logistic-Sine and Logistic-Tent chaotic system is proposed by Padmapriya et al [22] to encrypt agricultural image information, which is effective and robust.…”

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confidence: 99%

Research on Wheat Image Encryption Based on Different Chaotic Systems

Shao,

Zhu,

Deng

et al. 2024

Preprint

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(1) In order to study the influence of chaotic system on wheat image encryption, a method to find the optimal chaotic system encryption based on wheat image is proposed. (2) 10 different chaotic system schemes are combined to encrypt wheat images by 13 common chaotic maps, respectively. The best chaotic system scheme is obtained by considering the anti-attack capability of these encryption schemes, which analyzes 8 commonly used image encryption performance evaluation indexes. (3) The experimental results show that the new four-dimensional chaotic system has the best encryption effect, which is suitable for wheat image encryption. (4) The proposed scheme of wheat image encryption based on chaotic system provides a reference for other crop image encryption.

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confidence: 99%