面向推荐系统数据安全的无证书门限解密方案

doi:10.11896/j.issn.1002-137X.2017.11.038

Abstract

Abstract: Recommendation system is an effective way to solve the problem of information overloading and meanwhile satisfy user’s personalized needs.Nevertheless the data security issues involved from the recommendation procedure are definitely hindering the healthy development of recommendation system.In distributed recommendation systems,thre-shold decryption is one of the useful methods to resist security attack and protect user’s privacy.Regarding aforementioned techniques,we studied threshold decryption in the context of certificateless public key cryptography,aiming to avoid costly management of certificate in public key infrastructure and settle the matter of key escrow in identity-based cryptography.This paper introduced a new construction for certificateless threshold decryption scheme and the corresponding security model.The scheme was proved secure against chosen-ciphertext attack in the random oracle model and the security proof was presented under the condition of hard computation of a problem in relation to bilinear diffie-hellman problem.Compared with other existing schemes,our scheme has lower computational overhead,faster transmission rate and shorter master secret key and public key.The scheme can not only improve the efficiency of recommendation system but also effectively ensure the safety of user’s privacy.

Key words: Recommendation system,Data security,Certificateless public key encryption,Threshold decryption,Random oracle model

ZHU Jun, YUAN Xiao-feng, GOU Zhi-nan and YANG Yi. Certificateless Threshold Decryption Scheme for Data Security of Recommendation System[J].Computer Science, 2017, 44(11): 253-263.

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