Privacy preserving biometrics using partially homomorphic encryption

Privacy - Preserving Process ing of Biometric Templates by Homomorphic Encryption

Erratum: “Customisation of Paillier Homomorphic Encryption for Efficient Binary Biometric Feature Vector Matching” does NOT enable Privacy-Preserving Matching

A privacy-preserving biometric matching technique for binary vectors more efficient than the Goldwasser-Micali approach has been proposed in “Customisation of Paillier Homomorphic Encryption for Efficient Binary Biometric Feature Vector Matching [PPRU14]” based on exploiting Paillier’s capability of encrypting messages larger than one bit at a time. We demonstrate that the suggested solution do...

Privacy-preserving Distributed Analytics: Addressing the Privacy-Utility Tradeoff Using Homomorphic Encryption for Peer-to-Peer Analytics

Data is becoming increasingly valuable, but concerns over its security and privacy have limited its utility in analytics. Researchers and practitioners are constantly facing a privacy-utility tradeoff where addressing the former is often at the cost of the data utility and accuracy. In this paper, we draw upon mathematical properties of partially homomorphic encryption, a form of asymmetric key...

Introduction to Homomorphic Encryption

Homomorphic encryption enables computations on encrypted data. This property makes such encryption schemes useful in a wide variety of privacy preserving applications. This paper provides a brief survey on the homomorphic encryption. We describe the homomorphic cryptosystems from partially homomorphic encryption to fully homomorphic encryption. We also give some security analysis and describe h...

Privacy-Preserving Clustering Using Representatives over Arbitrarily Partitioned Data∗

The challenge in privacy-preserving data mining is avoiding the invasion of personal data privacy. Secure computation provides a solution to this problem. With the development of this technique, fully homomorphic encryption has been realized after decades of research; this encryption enables the computing and obtaining results via encrypted data without accessing any plaintext or private key in...