One-Time Key Based Phase Scrambling for Phase-Only Correlation between Visually Protected Images

2019

SIP

Self Cite

A novel grayscale-based block scrambling image encryption scheme is presented not only to enhance security, but also to improve the compression performance for Encryption-then-Compression (EtC) systems with JPEG compression, which are used to securely transmit images through an untrusted channel provider. The proposed scheme enables the use of a smaller block size and a larger number of blocks than the color-based image encryption scheme. Images encrypted using the proposed scheme include less color information due to the use of grayscale images even when the original image has three color channels. These features enhance security against various attacks, such as jigsaw puzzle solver and brute-force attacks. Moreover, generating the grayscale-based images from a full-color image in YCbCr color space allows the use of color sub-sampling operation, which can provide the higher compression performance than the conventional grayscale-based encryption scheme, although the encrypted images have no color information. In an experiment, encrypted images were uploaded to and then downloaded from Twitter and Facebook, and the results demonstrated that the proposed scheme is effective for EtC systems and enhances the compression performance, while maintaining the security against brute-force and jigsaw puzzle solver attacks.

Section: ) Brute-force Attackmentioning

confidence: 99%

“…This means that the number of blocks is also identical. As a result, the key space of this type is equal to that with the conventional one in equation (8).…”

Section: D) Security Against Ciphertext-only Attacksmentioning

confidence: 99%

See 1 more Smart Citation

Grayscale-based block scrambling image encryption using YCbCr color space for encryption-then-compression systems

Sirichotedumrong

2019

SIP

Self Cite

“…LBT signs are sensitive data because they provide visible information as shown in Fig.5, although they have important properties for the identification. Figure 5(a) is an original image and (b) shows the LBT sign only image reconstructed by using the LBT signs of the image [28]. Figure 6 shows the proposed identification system based on the fuzzy commitment scheme, where "authentication" is used as the analogy of the fuzzy commitment system for biometric template protection shown in Fig.2, instead of "identification".…”

Section: Property Of Lbt Coefficientsmentioning

confidence: 99%

[Paper] Fuzzy Commitment Scheme-Based Secure Identification for JPEG XR Images under Various Compression Ratios

Iida

2017

MTA

Self Cite

A secure identification scheme for JPEG XR images is proposed in this paper.The aim is to securely identify JPEG XR images which are generated from the same original image under various compression levels. The positive and negative signs of lapped biorthogonal transform coefficients are used as features.The proposed scheme is robust against a difference in compression levels, and does not produce false negative matches in any compression level. In addition, to construct a secure identification system, we propose a novel identification system that consists of an error correction technique and a fuzzy commitment scheme, which is a well-known biometric cryptosystem. There is no existing scheme having these properties for JPEG XR images. Moreover, a way for speeding up the identification is also proposed. The experimental results show the proposed scheme is effective for identifying JPEG XR images in terms of true positive matches.

“…. , N − 1, are randomly generated by using a pseudo random generator [25], [26] and the phase vector θ p i is used to define a diagonal matrix H p i :…”

Section: B Dft-based Template Protectionmentioning

confidence: 99%

Unitary Transform-Based Template Protection and Its Application to <i>l</i><sup>2</sup>-norm Minimization Problems

Nakamura

Tonomura

IEICE Trans. Inf. & Syst.

2016

Self Cite

SUMMARYWe focus on the feature transform approach as one methodology for biometric template protection, where the template consists of the features extracted from the biometric trait. This study considers some properties of the unitary (including orthogonal) transform-based template protection in particular. It is known that the Euclidean distance between the templates protected by a unitary transform is the same as that between original (non-protected) ones as a property. In this study, moreover, it is shown that it provides the same results in l 2 -norm minimization problems as those of original templates. This means that there is no degradation of recognition performance in authentication systems using l 2 -norm minimization. Therefore, the protected templates can be reissued multiple times without original templates. In addition, a DFT-based template protection scheme is proposed as an unitary transform-based one. The proposed scheme enables to efficiently generate protected templates by the FFT, in addition to the useful properties. It is also applied to face recognition experiments to evaluate the effectiveness.