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中国科学院大学学报 ›› 2006, Vol. 23 ›› Issue (2): 198-204.DOI: 10.7523/j.issn.2095-6134.2006.2.020

• 论文 • 上一篇    下一篇

标准模型下的抗选择密文攻击基于身份门限解密方案

梅其祥; 何大可   

  1. 1.西南交通大学 计算机与通信工程学院, 成都, 四川, 610031;

    2. 信息安全国家重点实验室(中国科学院研究生院),北京,100039;

    3.中南大学 信息工程学院 , 长沙, 湖南, 410075

  • 收稿日期:1900-01-01 修回日期:1900-01-01 发布日期:2006-03-15

Identity-Based Threshold Decryption Schemes Secure against Chosen Ciphertext Attacks in the Standard Model

MEI Qi-Xiang, HE Da-Ke   

  1. 1. School of Computer Science and Communication Engineering, Southwest Jiaotong University, Chengdu, Sichuan 610031,China ;

    2. State Key Laboratory of Information Security(Graduate School of Chinese Academy of Sciences), Beijing, 100039, China;

    3. School of Information Science and Engineering, Central South University , Changsha , Hunan 410075, China

  • Received:1900-01-01 Revised:1900-01-01 Published:2006-03-15

摘要: 我们提出了两个有效的抗选择密文攻击的基于身份门限解密方案。在标准的决定性双线性Diffie-Hellman假设下,它们被证明可以抗选择密文攻击。第一个方案基于Boneh 和Boyen 提出的一个Selective IBE方案,另外一个方案基于Waters提出的Full IBE方案。与所基于的方案相同,前者的挑战身份要在公共参数选取之前确定,而后者的挑战身份可以由攻击者适应性地选取。据我们所知,以前的相关方案的安全性只能在随机预言机模型中得以证明。

关键词: 门限解密, 选择密文安全性, 决定性双线性Diffie-Hellman假设

Abstract:

We propose two efficient Identity-Based threshold decryption schemes They are proved secure against chosen ciphertext attacks under the standard decisional bilinear Diffie-Hellman assumption. The first one is constructed from (one of ) the Selective ID-Based Encryption (Selective-IBE) scheme proposed by Boneh and Boyen recently, yet the second one is transformed from the Full ID-Based Encryption (Full-IBE) scheme obtained by Waters. As the based IBE schemes, the attacker in the first proposal has to choose the challenge identity before the common parameter is generated, while the attacker in the second one could choose the identity adaptively. To the best of our knowledge, previous related schemes could only be proved secure in the random oracle model.

Key words: threshold decryption, chosen ciphertext security, decisional bilinear Diffie-Hellman assumption

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