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Watermarking is an important technique for protecting the ownership and authorization of digital content. In this paper, an output feedback (OFB) based fragile watermarking scheme for 3D models in spatial domain is proposed. The proposed scheme employs the output feedback (OFB) to generate the embedded watermark. The least significant bit (LSB) substitution technique is employed for watermark data...
This paper presents nearest neighbor tour circuit encryption algorithm based random Isomap reduction. In order to be suited for privacy-preserving classification, we first alter the selection fashion of the parameters nearest neighbor number k and embedded space dimension d of Isomap reduction algorithm. Further we embed the tourists’ sensitive attribution into random dimension space using random...
In 1993, Smith and Lennon described a new public key cryptosystem based on a Lucas sequences, called Lucas cryptosystem (LUC). Its construction is similar to RSA, but its computing faster and using smaller key size than RSA with the same security strength. In this paper, we presented a new hardcore predicate of LUC and proved its security by the list decoding method developed by Akavia et al.
In this paper, a digital spliced image detection method based on edge blur measurement is proposed. The blur degree of edges in images is measured based on edge blur extension. The difference of blur degree between authentic images and spliced images is analyzed. The percentage of sharp edge is extracted as features, and used to classify the authentic images and spliced images. The experiments show...
Case based reasoning (CBR) is very important task in data mining, but privacy information will be disclosed easily in CBR. This paper presents random locally linear embedding (LLE) on encrypted case based reasoning method. In order to be ensure the security of the CBR, the parameters nearest neighbor number k and embedded space dimension d of LLE algorithm are selected randomly. Further we embed the...
Protecting Privacy has attracted more and more attention in data mining. Case based reasoning(CBR) is very important task in data mining. This paper presents method that protects the privacy by disordered principal component analysis(PCA) on one class data. In order to be ensure the security of the CBR, we first disorder the PCA to select the principal component confusedly. Further we transform the...
A privacy preserving classification algorithm based on random Multidimensional Scales (MDS) is presented in this paper. We first alter the selection of the parameter embedded dimension d for satisfying the security of privacy preserving classification. Further the sensitive attributes are embedded into random (even higher) dimension feature space using random MDS algorithm, thus the sensitive attributes...
In this paper, a privacy preserving classification algorithm based random diffusion map is presented. We first alter the selection of the parameter dimension d and metaparameter fixed value ?? for satisfying the security of privacy-preserving classification. Further the sensitive attributes are embedded into random(even higher) dimension feature space using random diffusion map, thus the sensitive...
This paper presents nearest neighbor tour circuit encryption algorithm based random Laplacian Eigenmap. In order to be suited for privacy-p reserving classification, we first alter the selection fashion of the parameters nearest neighbor number k, embedded space dimension d and heat kernel factor t of Laplacian Eigenmap algorithm. Further we embed the tourists' sensitive attribution into random dimension...
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