Efficient Key-Aggregate Cryptosystem with User Revocation for Selective Group Data Sharing in Cloud Storage

被引:0
|
作者
Liu J. [1 ]
Qin J. [1 ]
Zhang X. [1 ]
Wang H. [2 ]
机构
[1] School of Mathematics, Shandong University, Jinan
[2] Skate Key Laboratory of Cryptology, P.O.Box 5159, Beijing
基金
中国国家自然科学基金;
关键词
Access control; Aggregates; Cloud computing; Cryptography; Data sharing; Key-aggregate cryptosystem; Resistance; Revocation; Security; Servers;
D O I
10.1109/TKDE.2024.3397721
中图分类号
学科分类号
摘要
Cloud computing has become prevalent due to its extensive storage resources and robust computational capacities. To protect data security and privacy, data owners opt for uploading encrypted data to the cloud. Flexible sharing of these encrypted data in a group of users is a critical functionality in cloud storage. In addition, given that users may exit the group, revocation becomes a crucial requirement in group data-sharing systems. The Key-Aggregate Cryptosystem (KAC) has become a promising mechanism for group data sharing. The decryption rights for any set of ciphertexts can be efficiently delegated by distributing a constant-size aggregate key, while the confidentiality of other ciphertexts outside the set is maintained. However, in previous KAC schemes, revocation remains a challenging task regarding key update, ciphertext re-encryption, and collision resistance. In this paper, we propose a Key-Aggregate Cryptosystem with User Revocation (KAC-UR) scheme to overcome this challenge. The KAC-UR scheme not only achieves flexible data sharing, but also can perform secure and efficient user revocation with properties including collision resistance, revocation without data owner-user communication, and constant ciphertext size. The KAC-UR scheme also enables the cloud server to perform partial decryption, thereby significantly alleviating the computational burden for users. The KAC-UR scheme is chosen plaintext attack secure under the decisional Bilinear Diffie-Hellman Exponent assumption. IEEE
引用
收藏
页码:1 / 14
页数:13
相关论文
共 50 条
  • [31] Cryptographic Implementation of Aggregate-Key Encryption for Data Sharing in Cloud Storage
    Kendrekar, Priyanka P.
    Chavan, M. K.
    2016 IEEE INTERNATIONAL CONFERENCE ON RECENT TRENDS IN ELECTRONICS, INFORMATION & COMMUNICATION TECHNOLOGY (RTEICT), 2016, : 829 - 832
  • [32] Secure and efficient revocable key-aggregate cryptosystem for multiple non-predefined non-disjoint aggregate sets
    Pareek, Gaurav
    Purushothama, B. R.
    JOURNAL OF INFORMATION SECURITY AND APPLICATIONS, 2021, 58
  • [33] Storage-efficient stateless group key revocation
    Wang, P
    Ning, P
    Reeves, DS
    INFORMATION SECURITY, PROCEEDINGS, 2004, 3225 : 25 - 38
  • [34] CLUSTER BASED PUBLIC AUDITING FOR SHARED DATA WITH EFFICIENT GROUP USER REVOCATION IN THE CLOUD
    Raghavan, Parimala
    Subasree
    Sakthivel
    IIOAB JOURNAL, 2016, 7 (09) : 503 - 508
  • [35] Secure and efficient revocable key-aggregate cryptosystem for multiple non-predefined non-disjoint aggregate sets
    Pareek, Gaurav
    Purushothama, B.R.
    Pareek, Gaurav (gpareek@nitgoa.ac.in), 1600, Elsevier Ltd (58)
  • [36] Secure deduplication for multimedia data with user revocation in cloud storage
    Kwon, Hyunsoo
    Hahn, Changhee
    Kim, Daeyoung
    Hur, Junbeom
    MULTIMEDIA TOOLS AND APPLICATIONS, 2017, 76 (04) : 5889 - 5903
  • [37] Secure deduplication for multimedia data with user revocation in cloud storage
    Hyunsoo Kwon
    Changhee Hahn
    Daeyoung Kim
    Junbeom Hur
    Multimedia Tools and Applications, 2017, 76 : 5889 - 5903
  • [38] Auditing For Shared Dynamic Cloud Data with Group User Revocation
    Riyaz, T.
    Saritha, S. J.
    PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON COMMUNICATION AND ELECTRONICS SYSTEMS (ICCES), 2016, : 378 - 380
  • [39] Public Auditing for Shared Data with Efficient User Revocation in the Cloud
    Wang, Boyang
    Li, Baochun
    Li, Hui
    2013 PROCEEDINGS IEEE INFOCOM, 2013, : 2904 - 2912
  • [40] Cloud-Assisted Attribute-Based Data Sharing with Efficient User Revocation in the Internet of Things
    Zheng, Dong
    Qin, Baodong
    Li, Yannan
    Tian, Aikui
    IEEE WIRELESS COMMUNICATIONS, 2020, 27 (03) : 18 - 23