Efficient Privacy-Preserving Ciphertext-Policy Attribute Based-Encryption and Broadcast Encryption

密文 加密 广播加密 基于属性的加密 计算机科学 匿名 计算机安全 常量(计算机编程) 密码学 理论计算机科学 公钥密码术 程序设计语言
作者
Zhibin Zhou,Dijiang Huang,Zhijie Wang
出处
期刊:IEEE Transactions on Computers [Institute of Electrical and Electronics Engineers]
卷期号:64 (1): 126-138 被引量:125
标识
DOI:10.1109/tc.2013.200
摘要

Ciphertext Policy Attribute-Based Encryption (CP-ABE) enforces expressive data access policies and each policy consists of a number of attributes. Most existing CP-ABE schemes incur a very large ciphertext size, which increases linearly with respect to the number of attributes in the access policy. Recently, Herranz proposed a construction of CP-ABE with constant ciphertext. However, Herranz do not consider the recipients’ anonymity and the access policies are exposed to potential malicious attackers. On the other hand, existing privacy preserving schemes protect the anonymity but require bulky, linearly increasing ciphertext size. In this paper, we proposed a new construction of CP-ABE, named Privacy Preserving Constant CP-ABE (denoted as PP-CP-ABE) that significantly reduces the ciphertext to a constant size with any given number of attributes. Furthermore, PP-CP-ABE leverages a hidden policy construction such that the recipients’ privacy is preserved efficiently. As far as we know, PP-CP-ABE is the first construction with such properties. Furthermore, we developed a Privacy Preserving Attribute-Based Broadcast Encryption (PP-AB-BE) scheme. Compared to existing Broadcast Encryption (BE) schemes, PP-AB-BE is more flexible because a broadcasted message can be encrypted by an expressive hidden access policy, either with or without explicit specifying the receivers. Moreover, PP-AB-BE significantly reduces the storage and communication overhead to the order of ${\mbi {O}}(\log {\mbi {N}})$ , where ${\mbi {N}}$ is the system size. Also, we proved, using information theoretical approaches, PP-AB-BE attains minimal bound on storage overhead for each user to cover all possible subgroups in the communication system.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
ZGC发布了新的文献求助10
刚刚
刚刚
科研通AI2S应助xudu采纳,获得10
刚刚
刘shuchang发布了新的文献求助10
1秒前
退没完成签到,获得积分10
1秒前
2秒前
沉默的凝云完成签到,获得积分10
3秒前
4秒前
4秒前
5秒前
冲冲完成签到,获得积分10
7秒前
昵称发布了新的文献求助10
7秒前
王豆豆发布了新的文献求助10
8秒前
大个应助11采纳,获得10
8秒前
liu完成签到,获得积分10
8秒前
领导范儿应助ZGC采纳,获得10
10秒前
abc发布了新的文献求助10
10秒前
最最完成签到,获得积分10
10秒前
耍酷的山灵完成签到,获得积分10
10秒前
11秒前
执着安莲完成签到,获得积分10
11秒前
科研通AI5应助小王琢采纳,获得10
13秒前
14秒前
Wayne完成签到 ,获得积分10
15秒前
Orange应助sweety采纳,获得30
16秒前
16秒前
16秒前
科研通AI2S应助狂野的笑天采纳,获得30
16秒前
17秒前
我叫不紧张完成签到,获得积分10
17秒前
Angie发布了新的文献求助10
19秒前
20秒前
独特雁枫发布了新的文献求助10
21秒前
上岸发布了新的文献求助10
22秒前
馋馋完成签到,获得积分10
22秒前
linda完成签到 ,获得积分10
22秒前
pluto应助孙庭芳采纳,获得10
23秒前
ffffffff发布了新的文献求助30
23秒前
情怀应助星落枝头采纳,获得10
23秒前
pliliyi关注了科研通微信公众号
25秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Mechanistic Modeling of Gas-Liquid Two-Phase Flow in Pipes 2500
Structural Load Modelling and Combination for Performance and Safety Evaluation 1000
读者个体因素对汉语阅读中眼动行为的影响 710
Conference Record, IAS Annual Meeting 1977 610
電気学会論文誌D(産業応用部門誌), 141 巻, 11 号 510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3560301
求助须知:如何正确求助?哪些是违规求助? 3134420
关于积分的说明 9407421
捐赠科研通 2834549
什么是DOI,文献DOI怎么找? 1558171
邀请新用户注册赠送积分活动 727912
科研通“疑难数据库(出版商)”最低求助积分说明 716615