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Several protocols of secure processing of user's information in Location Based Service (LBS) have been raised up. Kohlweiss et al constructed a secure framework protecting for both the user's location information and user's usage profiles using oblivious transfer and homomorphic encryption. However, an intermediate proxy was introduced in the protocol to interact between the server and the user, which...
Secure multiparty computation (SMC) has gained tremendous importance with the growth of the Internet and e-commerce, where mutually untrusted parties need to jointly compute a function of their private inputs. However, SMC protocols usually have very high computational complexities, rendering them practically unusable. In this paper, we tackle the problem of comparing two input values in a secure...
Protection of privacy has become an important problem in data mining. In this paper, we present a new scheme to privacy-preserving collaborative data mining based on the homomorphic encryption and ElGamal encryption system in distributed environment. This scheme can be used to compute the k-nearest neighbor search. Our scheme is provable secure and efficient and can prevent colluded attacker. Comparing...
Private-preserving shared dot product protocol is an important protocol of many secure multi-party computation problems. It has been the main building block of various data mining algorithms with privacy concerns, and providing fundamental security guarantee for many privacy-preserving data mining algorithms. In this paper, we construct a privacy-preserving two-party shared dot product protocol based...
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