Optical Techniques for Information Security

Matoba, Osamu; Nomura, Takanori; Pérez‐Cabré, Elisabet; Millán, Marı́a S.; Javidi, Bahram

doi:10.1109/jproc.2009.2018367

Cited by 312 publications

(169 citation statements)

References 67 publications

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“…(4) In a more general approach, the RPMs represented by t 2b x ( ) and t 2n u ( ) can be used as additional authenticators. Therefore, up to four factors can be authenticated by comparing the set of four primary images contained in the encrypted function with the set of four input images in pairs [3][4][28][29].…”

Section: Multifactor Optical Encryption Authentication (Moea)mentioning

confidence: 99%

“…Optical processing systems have been proposed for a number of security applications, including encryptiondecryption, authentication, and anti-counterfeiting of a number of primary images, from one in the most common case, up to four in the case of multifactor authentication [1][2][3][4][5][6]. They benefit from parallel processing, multiple degrees of freedom (such as amplitude, phase, wavelength, and polarization of light), high storage capacity and use of biometrics data such as, for instance, fingerprints, iris and retina.…”

Section: Introductionmentioning

confidence: 99%

“…Most of the optical security systems usually deal with a single primary image (for instance, an object, a plaintext, a signature, a biometric signal) as authenticator [2][3][4][5][6][7][10][11][12][13][14][18][19][20][21][22][23]. Some approaches permit to store multiple primary images, either in an optical memory [9] or in a single encrypted distribution [24][25][26][27], with the purpose of sequential and independent one-by-one decryption.…”

Section: Introductionmentioning

confidence: 99%

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Photon-counting multifactor optical encryption and authentication

Pérez‐Cabré

Mohammed

Millán

et al. 2015

J. Opt.

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Abstract. The multifactor optical encryption authentication method [Opt. Lett., 31, 721-3 (2006)] reinforces optical security by allowing the simultaneous authentication of up to four factors. In this work, the photon-counting imaging technique is applied to the multifactor encrypted function so that a sparse phase-only distribution is generated for the encrypted data. The integration of both techniques permits an increased capacity for signal hiding with simultaneous data reduction for better fulfilling the general requirements of protection, storage and transmission. Cryptanalysis of the proposed method is carried out in terms of chosen-plaintext and chosen-ciphertext attacks. Although the multifactor authentication process is not substantially altered by those attacks, its integration with the photon-counting imaging technique prevents from possible partial disclosure of any encrypted factor, thus increasing the security level of the overall process. Numerical experiments and results are provided and discussed.

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Section: Multifactor Optical Encryption Authentication (Moea)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Photon-counting multifactor optical encryption and authentication

Pérez‐Cabré

Mohammed

Millán

et al. 2015

J. Opt.

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“…DRPE is an optical symmetric-key encryption technique in which an optical image is encrypted by multiplying two random phase masks in the spatial and Fourier or Fresnel planes. To obtain an optically-encrypted image, digital holography (DH) [7]- [10] is commonly employed. DH makes it possible to not only capture an optical wavefront as holographic data, but also to reconstruct various styles of optical wavefront computationally from the holographic data.…”

Section: Introductionmentioning

confidence: 99%

Encrypted Sensing Based on Digital Holography for Fingerprint Images

Takeda¹,

Nakano²,

Suzuki³

et al. 2015

OPJ

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We propose a novel biometric sensing technique for personal authentication in which fingerprint images are captured using an optical encryption method. This method can reduce the risk of data theft or leakage of personal information captured by biometric sensing. This method, termed encrypted sensing, is implemented using digital holography with double random phase encoding. We demonstrate experimentally that a fingerprint image can be captured as an optically encrypted image and can be restored correctly only when the correct cipher key is used. Moreover, we investigate experimentally the verification accuracy of the decrypted images.

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“…The perceptual-level image encryption methods intend to transform an image into a unrecognized one using a fast algorithm, e.g. selective encryption techniques [8], [9], [10] and optical encryption techniques [11], [12], [13]. In this case, images are believed to be valuable only within a certain time period e.g.…”

Section: Introductionmentioning

confidence: 99%

Design of image cipher using latin squares

Zhou²,

Noonan

et al. 2014

Information Sciences

164

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In this paper, we introduce a symmetric-key Latin square image cipher (LSIC) for grayscale and color images. Our contributions to the image encryption community include 1) we develop new Latin square image encryption primitives including Latin Square Whitening, Latin Square S-box and Latin Square P-box ; 2) we provide a new way of integrating probabilistic encryption in image encryption by embedding random noise in the least significant image bit-plane; and 3) we construct LSIC with these Latin square image encryption primitives all on one keyed Latin square in a new loom-like substitution-permutation network. Consequently, the proposed LSIC achieve many desired properties of a secure cipher including a large key space, high key sensitivities, uniformly distributed ciphertext, excellent confusion and diffusion properties, semantically secure, and robustness against channel noise. Theoretical analysis show that the LSIC has good resistance to many attack models including brute-force attacks, ciphertext-only attacks, known-plaintext attacks and chosen-plaintext attacks. Experimental analysis under extensive simulation results using the complete USC-SIPI Miscellaneous image dataset demonstrate that LSIC outperforms or reach state of the art suggested by many peer algorithms. All these analysis and results demonstrate that the LSIC is very suitable for digital image encryption. Finally, we open source the LSIC MATLAB code under webpage https://sites.google.com/site/tuftsyuewu/source-code.

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Optical Techniques for Information Security

Cited by 312 publications

References 67 publications

Photon-counting multifactor optical encryption and authentication

Photon-counting multifactor optical encryption and authentication

Encrypted Sensing Based on Digital Holography for Fingerprint Images

Design of image cipher using latin squares

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