Sensitive data are most often indirectly identifiable and so need to be rendered anonymous in order to ensure privacy. Statistical methods to provide anonymity require data perturbation and so generate data processing difficulties. Encryption methods, while preserving confidentiality, do not require data modification.

To achieve semantic security, symmetric encryption schemes classically require ciphertext expansion. In this paper we provide a means to security while preserving the length of messages at cost mildly sacrificing correctness. Concretely, propose new scheme that can be interpreted as secure alternative (or wrapper around) plain Electronic Codebook (ECB) mode encryption, and for reason name it Se...

Deep learning models such as long short-term memory (LSTM) are valuable classifiers for time series data like hourly clinical statistics. However, access to health is challenging due privacy and legal issues. Homomorphic encryption (HE) offers a potential solution by encrypting confidential data. the computational complexity of encrypted operations makes it infeasible training with gradient des...

As more and more private and confidential data is stored in databases and in the wake of cloud computing services hosted by third parties, the privacyaware and secure handling of such sensitive data is important. The security of such data needs not only be guaranteed during the actual life, but also at the point where they should be deleted. However, current common database management systems t...

We consider secret computation of purchase history data among two companies of different type of business in order to identify purchase patterns without revealing customer information of each company. Among several privacy-preserving approaches, we focus on homomorphic encryption, which is public-key encryption supporting meaningful computations on encrypted data. In particular, we apply the so...

Because of the importance of computing on data with privacy protections, the cryptographic community has developed both theoretical and practical solutions to compute on encrypted data. On the one hand, theoretical schemes, such as fully homomorphic encryption and functional encryption, are secure but extremely inefficient. On the other hand, practical schemes, such as property-preserving encry...

This paper presents FPE (Formatpreserving Encryption) for character data in both fixed-width and variable-width encoding. Previous researches only studied FPE for fixed-width character data. In this paper, FPE for character data is categorized into NPE (Number-preserving Encryption) and LPE (Length-preserving Encryption). The schemes related to NPE and LPE are proposed to encrypt fixed-width an...

As security plays an important role in most of the applications where small change of data can lead to major problems. Thus, to secure the information there is need of a stronger encryption, which is very hard to break. In order to achieve better results and improve security, several levels of encryption have to be applied to the information and the way of encryption should not be vulnerable to...