Auditable $\sigma $ -Time Outsourced Attribute-Based Encryption for Access Control in Cloud Computing

计算机科学 云计算 基于属性的加密 访问控制 加密 计算机安全 密文 正确性 特权(计算) 公钥密码术 操作系统 算法
作者
Jianting Ning,Zhenfu Cao,Xiaolei Dong,Kaitai Liang,Hui Ma,Lifei Wei
出处
期刊:IEEE Transactions on Information Forensics and Security [Institute of Electrical and Electronics Engineers]
卷期号:13 (1): 94-105 被引量:184
标识
DOI:10.1109/tifs.2017.2738601
摘要

As a sophisticated mechanism for secure finegrained access control over encrypted data, ciphertext-policy attribute-based encryption (CP-ABE) is one of the highly promising candidates for cloud computing applications. However, there exist two main long-lasting open problems of CP-ABE that may limit its wide deployment in commercial applications. One is that decryption yields expensive pairing cost which often grows with the increase of access policy size. The other is that one is granted access privilege for unlimited times as long as his attribute set satisfies the access policy of a given ciphertext. Such powerful access rights, which are provided by CP-ABE, may be undesirable in real-world applications (e.g., pay-as-youuse). To address the above drawbacks, in this paper, we propose a new notion called auditable σ-time outsourced CF-ABE, which is believed to be applicable to cloud computing. In our notion, expensive pairing operation incurred by decryption is offloaded to cloud and meanwhile, the correctness of the operation can be audited efficiently. Moreover, the notion provides σ-time fine-grained access control. The cloud service provider may limit a particular set of users to enjoy access privilege for at most σ times within a specified period. As of independent interest, the notion also captures key-leakage resistance. The leakage of a user's decryption key does not help a malicious third party in decrypting the ciphertexts belonging to the user. We design a concrete construction (satisfying our notion) in the key encapsulation mechanism setting based on Rouselakis and Waters (prime order) CP-ABE, and further present security and extensive experimental analysis to highlight the scalability and efficiency of our construction.
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
畅快映雁完成签到 ,获得积分10
刚刚
贪玩梦山发布了新的文献求助10
刚刚
浔阳发布了新的文献求助10
1秒前
Msure完成签到,获得积分10
1秒前
1秒前
满意的伊发布了新的文献求助10
1秒前
肖肖完成签到,获得积分10
1秒前
1秒前
诺幽时完成签到,获得积分10
2秒前
2秒前
jj完成签到,获得积分10
2秒前
2秒前
刘可发布了新的文献求助10
3秒前
3秒前
精明芷巧发布了新的文献求助10
3秒前
4秒前
zhoushuqi发布了新的文献求助10
4秒前
penzer发布了新的文献求助10
4秒前
吃不饱完成签到,获得积分10
4秒前
闪闪觅风完成签到,获得积分10
5秒前
ChinaNiu完成签到,获得积分10
5秒前
说不得大师完成签到,获得积分10
5秒前
6秒前
6秒前
共享精神应助小清采纳,获得10
6秒前
7秒前
owl发布了新的文献求助10
7秒前
赘婿应助KLDS BL-10采纳,获得10
7秒前
杨子怡发布了新的文献求助10
8秒前
8秒前
saflgf发布了新的文献求助30
8秒前
贪玩梦山完成签到,获得积分10
8秒前
9秒前
郭松发布了新的文献求助10
9秒前
科研通AI6.2应助wj采纳,获得30
9秒前
ttt发布了新的文献求助30
9秒前
10秒前
撸撸大仙发布了新的文献求助10
10秒前
Liu66发布了新的文献求助10
11秒前
LSY发布了新的文献求助10
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
内視鏡的に摘除しえた十二指腸乳頭部腫瘍の2例 660
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Interpolation and Regression Models for the Chemical Engineer: Solving Numerical Problems 400
The Neuroscience of Language 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7686923
求助须知:如何正确求助?哪些是违规求助? 9250039
关于积分的说明 19960761
捐赠科研通 7259914
什么是DOI,文献DOI怎么找? 3289681
关于科研通互助平台的介绍 2446618
邀请新用户注册赠送积分活动 2294198