Searchable Ciphertext-Policy Attribute-Based Encryption with Multi-Keywords for Secure Cloud Storage

2018 ◽  
Author(s):  
Zhiyuan Zhao ◽  
Lei Sun ◽  
Zuohui Li ◽  
Ying Liu
Keyword(s):  
Cloud Storage ◽  
Attribute Based Encryption ◽  
Secure Cloud Storage ◽  
Ciphertext Policy

Efficient revocation in ciphertext-policy attribute-based encryption based cryptographic cloud storage

2013 ◽  
Vol 14 (2) ◽  
pp. 85-97 ◽  
Author(s):  
Yong Cheng ◽  
Zhi-ying Wang ◽  
Jun Ma ◽  
Jiang-jiang Wu ◽  
Song-zhu Mei ◽  
...  
Keyword(s):  
Cloud Storage ◽  
Attribute Based Encryption ◽  
Ciphertext Policy

scholarly journals Traceable and undeniable ciphertext-policy attribute-based encryption for cloud storage service

2019 ◽  
Vol 15 (4) ◽  
pp. 155014771984127 ◽  
Author(s):  
Gang Yu ◽  
Yongjuan Wang ◽  
Zhenfu Cao ◽  
Jian Lin ◽  
Xiangyu Wang
Keyword(s):  
Cloud Storage ◽  
Attribute Based Encryption ◽  
Cloud Storage Service ◽  
Storage Service ◽  
Ciphertext Policy

scholarly journals Towards Virtuous Cloud Data Storage Using Access Policy Hiding in Ciphertext Policy Attribute-Based Encryption

2021 ◽  
Vol 13 (11) ◽  
pp. 279
Author(s):  
Siti Dhalila Mohd Satar ◽  
Masnida Hussin ◽  
Zurina Mohd Hanapi ◽  
Mohamad Afendee Mohamed
Keyword(s):  
Data Storage ◽  
Cloud Storage ◽  
Security Analysis ◽  
Data Access ◽  
Logical Connective ◽  
Encrypted Data ◽  
Cloud Data ◽  
Access Policy ◽  
Attribute Based Encryption ◽  
Ciphertext Policy

Managing and controlling access to the tremendous data in Cloud storage is very challenging. Due to various entities engaged in the Cloud environment, there is a high possibility of data tampering. Cloud encryption is being employed to control data access while securing Cloud data. The encrypted data are sent to Cloud storage with an access policy defined by the data owner. Only authorized users can decrypt the encrypted data. However, the access policy of the encrypted data is in readable form, which results in privacy leakage. To address this issue, we proposed a reinforcement hiding in access policy over Cloud storage by enhancing the Ciphertext Policy Attribute-based Encryption (CP-ABE) algorithm. Besides the encryption process, the reinforced CP-ABE used logical connective operations to hide the attribute value of data in the access policy. These attributes were converted into scrambled data along with a ciphertext form that provides a better unreadability feature. It means that a two-level concealed tactic is employed to secure data from any unauthorized access during a data transaction. Experimental results revealed that our reinforced CP-ABE had a low computational overhead and consumed low storage costs. Furthermore, a case study on security analysis shows that our approach is secure against a passive attack such as traffic analysis.

Fine-Grained Access Control with Efficient Revocation in Cloud Storage

2014 ◽  
Vol 571-572 ◽  
pp. 79-89
Author(s):  
Ting Zhong ◽  
You Peng Sun ◽  
Qiao Liu
Keyword(s):  
Access Control ◽  
Cloud Storage ◽  
Storage System ◽  
Fine Grained ◽  
Computational Overhead ◽  
Attribute Based Encryption ◽  
Encrypt Data ◽  
User Revocation ◽  
Ciphertext Policy ◽  
Access Policies

In the cloud storage system, the server is no longer trusted, which is different from the traditional storage system. Therefore, it is necessary for data owners to encrypt data before outsourcing it for sharing. Simultaneously, the enforcement of access policies and support of policies updates becomes one of the most challenging issues. Ciphertext-policy attribute-based encryption (CP-ABE) is an appropriate solution to this issue. However, it comes with a new obstacle which is the attribute and user revocation. In this paper, we propose a fine-grained access control scheme with efficient revocation based on CP-ABE approach. In the proposed scheme, we not only realize an efficient and immediate revocation, but also eliminate some burden of computational overhead. The analysis results indicate that the proposed scheme is efficient and secure for access control in cloud storage systems.

Accountable CP-ABE with Public Verifiability: How to Effectively Protect the Outsourced Data in Cloud

2017 ◽  
Vol 28 (06) ◽  
pp. 705-723
Author(s):  
Gang Yu ◽  
Xiaoxiao Ma ◽  
Zhenfu Cao ◽  
Guang Zeng ◽  
Wenbao Han
Keyword(s):  
Cloud Storage ◽  
Third Party ◽  
Access Structures ◽  
Public Verifiability ◽  
Attribute Based Encryption ◽  
Outsourced Data ◽  
Identity Based ◽  
Commercial Applications ◽  
Ciphertext Policy ◽  
Cloud Storage Services

Ciphertext-policy attribute-based encryption, denoted by CP-ABE, extends identity based encryption by taking a set of attributes as users’ public key which enables scalable access control over outsourced data in cloud storage services. However, a decryption key corresponding to an attribute set may be owned by multiple users. Then, malicious users are subjectively willing to share their decryption keys for profits. In addition, the authority who issues decryption keys in CP-ABE system is able to generate arbitrary decryption key for any (including unauthorized) user. Key abuses of both malicious users and the authority have been regarded as one of the major obstacles to deploy CP-ABE system in real-world commercial applications. In this paper, we try to solve these two kinds of key abuses in CP-ABE system, and propose two accountable CP-ABE schemes supporting any LSSS realizable access structures. Two proposed accountable CP-ABE schemes allow any third party (with the help of authorities if necessary) to publicly verify the identity of an exposed decryption key, allow an auditor to publicly audit whether a malicious user or authorities should be responsible for an exposed decryption key, and the key abuser can’t deny it. At last, we prove the two schemes can achieve publicly verifiable traceability and accountability.

scholarly journals Survey on Revocation in Ciphertext-Policy Attribute-Based Encryption

Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1695 ◽  
Author(s):  
Al-Dahhan ◽  
Shi ◽  
Lee ◽  
Kifayat
Keyword(s):  
Computational Cost ◽  
Sensitive Data ◽  
Resource Limited ◽  
Attribute Based Encryption ◽  
Wide Range ◽  
Secure Cloud Storage ◽  
Iot Devices ◽  
Ciphertext Policy ◽  
Cryptographic Techniques ◽  
High Computational Cost

Recently, using advanced cryptographic techniques to process, store, and share datasecurely in an untrusted cloud environment has drawn widespread attention from academicresearchers. In particular, Ciphertext‐Policy Attribute‐Based Encryption (CP‐ABE) is a promising,advanced type of encryption technique that resolves an open challenge to regulate fine‐grainedaccess control of sensitive data according to attributes, particularly for Internet of Things (IoT)applications. However, although this technique provides several critical functions such as dataconfidentiality and expressiveness, it faces some hurdles including revocation issues and lack ofmanaging a wide range of attributes. These two issues have been highlighted by many existingstudies due to their complexity which is hard to address without high computational cost affectingthe resource‐limited IoT devices. In this paper, unlike other survey papers, existing single andmultiauthority CP‐ABE schemes are reviewed with the main focus on their ability to address therevocation issues, the techniques used to manage the revocation, and comparisons among themaccording to a number of secure cloud storage criteria. Therefore, this is the first review paperanalysing the major issues of CP‐ABE in the IoT paradigm and explaining the existing approachesto addressing these issues.

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