Efficient Decentralized Attribute-based Access Control for Cloud Storage with User Revocation

被引:0
|
作者
Chen, Jianwei [1 ]
Ma, Huadong [1 ]
机构
[1] Beijing Univ Posts & Telecommun, Sch Comp Sci, Beijing 100088, Peoples R China
关键词
THRESHOLD MULTI AUTHORITY; SECURE; ENCRYPTION;
D O I
暂无
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Cloud storage access control is very important for the security of outsourced data, where Attribute-based Encryption (ABE) is regarded as one of the most promising technologies. Current researches mainly focus on decentralized ABE, a variant of multi-authority ABE scheme, because conventional ABE schemes depend on a single authority to issue secret keys for all of users, which is very impractical in a large-scale cloud. A decentralized ABE scheme should not rely on a central authority and can eliminate the need for collaborative computation. However, constructing such an efficient and practical decentralized ABE scheme remains a challenging research problem. In this study, we design a new decentralized ciphertext-policy attribute-based encryption access control scheme for cloud storage systems. Firstly, our scheme dose not require any central authority and global coordination among multiple authorities. Then, it supports any LSSS access structure and thus can encrypt data in terms of any boolean formula. In addition, we also utilize Proxy Re-encryption technique to overcome the user revocation problem in decentralized ABE schemes, thus making our scheme more practical. Our security and performance analysis demonstrate the presented scheme's security strength and efficiency in terms of flexibility and computation.
引用
收藏
页码:3782 / 3787
页数:6
相关论文
共 50 条
  • [1] A survey of attribute-based access control with user revocation in cloud data storage
    [J]. Hwang, Min-Shiang (mshwang@asia.edu.tw), 1600, Femto Technique Co., Ltd. (18):
  • [2] Immediate attribute revocation in decentralized attribute-based access control
    Imine, Youcef
    Lounis, Ahmed
    Bouabdallah, Abdelmadjid
    [J]. 2017 16TH IEEE INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS / 11TH IEEE INTERNATIONAL CONFERENCE ON BIG DATA SCIENCE AND ENGINEERING / 14TH IEEE INTERNATIONAL CONFERENCE ON EMBEDDED SOFTWARE AND SYSTEMS, 2017, : 33 - 40
  • [3] Attribute-Based Access Control Scheme with Efficient Revocation in Cloud Computing
    Xia, Zhihua
    Zhang, Liangao
    Liu, Dandan
    [J]. CHINA COMMUNICATIONS, 2016, 13 (07) : 92 - 99
  • [4] Attribute-Based Access Control Scheme with Efficient Revocation in Cloud Computing
    Zhihua Xia
    Liangao Zhang
    Dandan Liu
    [J]. China Communications, 2016, 13 (07) : 92 - 99
  • [5] An Attribute-Based Access Control with Efficient and Secure Attribute Revocation for Cloud Data Sharing Service
    Nyamsuren Vaanchig
    Wei Chen
    Zhi-Guang Qin
    [J]. Journal of Electronic Science and Technology, 2017, 15 (01) : 90 - 98
  • [6] Generic user revocation systems for attribute-based encryption in cloud storage
    Genlang CHEN
    Zhiqian XU
    Hai JIANG
    Kuan-ching LI
    [J]. Frontiers of Information Technology & Electronic Engineering, 2018, 19 (11) : 1362 - 1384
  • [7] Generic user revocation systems for attribute-based encryption in cloud storage
    Chen, Genlang
    Xu, Zhiqian
    Jiang, Hai
    Li, Kuan-ching
    [J]. FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2018, 19 (11) : 1362 - 1384
  • [8] Generic user revocation systems for attribute-based encryption in cloud storage
    Genlang Chen
    Zhiqian Xu
    Hai Jiang
    Kuan-ching Li
    [J]. Frontiers of Information Technology & Electronic Engineering, 2018, 19 : 1362 - 1384
  • [9] Attribute-based public integrity auditing for shared data with efficient user revocation in cloud storage
    Jaya Rao Gudeme
    Syam Kumar Pasupuleti
    Ramesh Kandukuri
    [J]. Journal of Ambient Intelligence and Humanized Computing, 2021, 12 : 2019 - 2032
  • [10] Attribute-based public integrity auditing for shared data with efficient user revocation in cloud storage
    Gudeme, Jaya Rao
    Pasupuleti, Syam Kumar
    Kandukuri, Ramesh
    [J]. JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2021, 12 (02) : 2019 - 2032