Research on optical encryption system based on unequal modulus decomposition and polarized vortex optical holography

Gan, W. S.; Chen, Linfei; Liu, Yuanqian

doi:10.1016/j.optcom.2020.126609

Cited by 16 publications

(5 citation statements)

References 34 publications

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“…In equation (11), dist i represents the Euclidean distance between the target position and the ith reference point in the fingerprint database. K reference points with the smallest x, y ð Þ=…”

Section: Fingerprint Location Technology Algorithmmentioning

confidence: 99%

“…Let the set fO, G, 2G, 3G, ðn − 1ÞGg be a cyclic subgroup generated by G on d ∈ ½1, n − 1. If d is selected as the private key and P = d G as the public key, the problem of finding d from P is the discrete logarithm problem on the elliptic curve group, which is the mathematical basis of the elliptic curve encryption algorithm [11].…”

Section: Characteristics Of Blockchain Technology and Introduction Of Related Technologiesmentioning

confidence: 99%

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Wireless Sensor Acquisition of Human Motion Parameters Based on Blockchain

Peng¹,

Liu

2021

Journal of Sensors

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With the rapid development of intelligent technology, people’s lives have gradually entered the era of information and intelligence. Traditional vision-based and sensor-based human motion detection methods have shortcomings such as high illumination requirements, difficulty in preserving privacy, and poor portability. The wireless sensor detection method based on a wireless network can overcome the shortcomings of these methods, so it has become a hot research direction. Human motion parameters are very important data. If leaked, it may cause unimaginable harm to individuals. Blockchain technology is an emerging technology in the field of information technology. Its decentralized nature, distributed storage, and data is not easy. The modification provides a feasible solution for us to realize the data upload. Combining the advantages of wireless sensing and blockchain technology, this paper proposes a method of wireless sensing collection of human motion parameters based on blockchain, and designs a human motion recognition system. The experiment found that under the experiments given in this article, the traditional accuracy rate of sensor data collection is 71.82%, and the accuracy rate of the wireless sensing collection method of human motion parameters based on the blockchain in this article has reached 95.31%, which verifies the effectiveness and superiority of the system designed in this article.

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Section: Fingerprint Location Technology Algorithmmentioning

confidence: 99%

Section: Characteristics Of Blockchain Technology and Introduction Of Related Technologiesmentioning

confidence: 99%

Wireless Sensor Acquisition of Human Motion Parameters Based on Blockchain

Peng¹,

Liu

2021

Journal of Sensors

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“…The study provides a method to obtain various charming shapes of the focusing intensity which may determine the trapping effects. At the same time, it may be widely used in optical microscopy [16][17][18][19], imaging [20][21][22], material processing [23,24] and other fields [25][26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Tight focusing of high-order polarized anomalous vortex beam

Xu¹,

Qin²,

Ji³

et al. 2022

Laser Phys.

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Based on the vector Debye theory, the tight focusing properties of a high-order polarized anomalous vortex (HPAV) beam are studied. The corresponding mathematical expressions of the HPAV beam are derived theoretically. We accomplish the inner and outer gear shapes of the focusing intensity where the number of the gear tooth can be modulated by polarization order. The results show that the focusing gear intensity can be flexibly modulated by initial polarization azimuth which may determine the trapping effects. Various charming focusing field patterns can be used to capture two kinds of different refractive indices particles simultaneously. The compactness of the intensity distribution can be freely adjusted by the HPAV beam topological charges and polarization order. The focal spot size, which is far beyond the Rayleigh diffraction limitation can be achieved. It may be expected to have potential applications in optical microscopy, imaging, optical telecommunication and other fields.

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“…[6] Since the DRPE-based optical encryption has high flexibility and expansion capability, consequently, many other optical encryption methods have also been developed, which proves to be feasible and effective. [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25] In recent years, the vulnerability analysis of optical encryption systems has attracted wide interest from researchers. The DRPE-based optical encryption schemes have been verified to be vulnerable to different kinds of attacks [26][27][28][29] due to its inherent properties of linearity and symmetry.…”

Section: Introductionmentioning

confidence: 99%

Deep-learning-based cryptanalysis of two types of nonlinear optical cryptosystems

Wang¹,

Wei²

2022

Chinese Phys. B

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The two types of nonlinear optical cryptosystems (NOCs) that are respectively based on amplitude-phase retrieval algorithm (APRA) and phase retrieval algorithm (PRA) have attracted a lot of attention due to their unique mechanism of encryption process and remarkable ability to resist common attacks. In this paper, for the first time, to the best of our knowledge, the security of the two types NOCs is evaluated by using a deep-learning (DL) method, wherein an end-to-end densely connected convolutional network (DenseNet) model for cryptanalysis is developed. The proposed DL-based method is able to retrieve unknown plaintexts from the given ciphertexts by using the trained DenseNet model without a prior knowledge of any public or private keys. The results of numerical experiments with the DenseNet model clearly demonstrate the validity and good performance of the proposed the DL-based attack on NOCs.

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Research on optical encryption system based on unequal modulus decomposition and polarized vortex optical holography

Cited by 16 publications

References 34 publications

Wireless Sensor Acquisition of Human Motion Parameters Based on Blockchain

Wireless Sensor Acquisition of Human Motion Parameters Based on Blockchain

Tight focusing of high-order polarized anomalous vortex beam

Deep-learning-based cryptanalysis of two types of nonlinear optical cryptosystems

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