scholarly journals Current Issues in Ciphertext Policy-Attribute Based Scheme for Cloud Computing: A Survey

2018 ◽  
Vol 7 (2.15) ◽  
pp. 64
Author(s):  
Norhidayah Muhammad ◽  
Jasni Mohamad Zain ◽  
Mumtazimah Mohamad

The use of cloud computing has increased exponentially in data resources storage over the past few years. Cloud storage reduces the overall costs of server maintenance, whereby companies only pay for the resources they actually use in the cloud storage. Despite this, security concerns in cloud computing must be a top priority. One of the common encryption methods in cloud security is Attribute Based Encryption (ABE). ABE contains two types, namely, Ciphertext Policy-Attribute Based Encryption (CP-ABE) and Key Policy- Attribute based Encryption (KP-ABE). CP-ABE is better than KP-ABE, especially in reduplication issues and fine-grained access. However, issues in CP_ABE need further improvement. Improvement for the CP-ABE scheme has been growing rapidly since 2010 to date, and five main issues need improvement. This paper reviews the proposed CP-ABE schemes during the past three years.  These schemes focus on solving the five issues identified inherent in the CP-ABE scheme. 

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Jie Ling ◽  
Junwei Chen ◽  
Jiahui Chen ◽  
Wensheng Gan

Ciphertext policy attribute-based encryption (CP-ABE) is an encryption mechanism that can provide fine-grained access control and adequate cloud storage security for Internet of Things (IoTs). In this field, the original CP-ABE scheme usually has only a single trusted authority, which will become a bottleneck in IoTs. In addition, different users may illegally share their private keys to obtain improper benefits. Besides, the data owners also require the flexibility to change their access policy. In this paper, we construct a multiauthority CP-ABE scheme on prime order groups over a large attribute universe. Our scheme can support white-box traceability along with policy updates to solve the abovementioned three problems and, thus, can fix the potential requirements of IoTs. More precisely, the proposed scheme supports multiple authority, white box traceability, large attribute domains, access policy updates, and high expressiveness. We prove that our designed scheme is static secure and traceable secure based on the state-of-the-art security models. Moreover, by theoretical comparison, our scheme has better performance than other schemes. Finally, extensive experimental comparisons show that our proposed algorithm can be better than the baseline algorithms.


2014 ◽  
Vol 513-517 ◽  
pp. 2273-2276
Author(s):  
Shao Min Zhang ◽  
Jun Ran ◽  
Bao Yi Wang

Ciphertext-Policy Attribute-based encryption (CP-ABE) mechanism is an extension of attribute-based encryption which associates the ciphertext and user's private key with the attribute by taking the attribute as a public key. It makes the representation of the access control policy more flexible, thus greatly reduces the network bandwidth and processing overhead of sending node brought by fine-grained access control of data sharing. According to the principle of CP-ABE encryption mechanism for this mechanism, an improved cloud computing-based encryption algorithm was proposed in this paper to overcome the deficiencies of permission changing process under the massive data. Experimental results show that compared with traditional methods, the new mechanism significantly reduces time-consuming.


2014 ◽  
Vol 571-572 ◽  
pp. 79-89
Author(s):  
Ting Zhong ◽  
You Peng Sun ◽  
Qiao Liu

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.


2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
Guangbo Wang ◽  
Jianhua Wang

Attribute-based encryption (ABE) scheme is more and more widely used in the cloud storage, which can achieve fine-grained access control. However, it is an important challenge to solve dynamic user and attribute revocation in the original scheme. In order to solve this problem, this paper proposes a ciphertext-policy ABE (CP-ABE) scheme which can achieve attribute level user attribution. In this scheme, if some attribute is revoked, then the ciphertext corresponding to this attribute will be updated so that only the individuals whose attributes meet the access control policy and have not been revoked will be able to carry out the key updating and decrypt the ciphertext successfully. This scheme is proved selective-structure secure based on the q-Parallel Bilinear Diffie-Hellman Exponent (BDHE) assumption in the standard model. Finally, the performance analysis and experimental verification have been carried out in this paper, and the experimental results show that, compared with the existing revocation schemes, although our scheme increases the computational load of storage service provider (CSP) in order to achieve the attribute revocation, it does not need the participation of attribute authority (AA), which reduces the computational load of AA. Moreover, the user does not need any additional parameters to achieve the attribute revocation except for the private key, thus saving the storage space greatly.


2021 ◽  
Vol 11 (3) ◽  
pp. 1-18
Author(s):  
Rajendra Kumar Dwivedi ◽  
Rakesh Kumar ◽  
Rajkumar Buyya

Sensor networks are integrated with cloud in many internet of things (IoT) applications for various benefits. Healthcare monitoring sensor cloud is one of the application that allows storing the patients' health data generated by their wearable sensors at cloud and facilitates the authorized doctors to monitor and advise them remotely. Patients' data at cloud must be secure. Existing security schemes (e.g., key policy attribute-based encryption [KP-ABE] and ciphertext policy attribute-based encryption [CP-ABE]) have higher computational overheads. In this paper, a security mechanism called attribute-based elliptical curve cryptography (ABECC) is proposed that guarantees data integrity, data confidentiality, and fine-grained access control. It also reduces the computational overheads. ABECC is implemented in .NET framework. Use of elliptical curve cryptography (ECC) in ABECC reduces the key length, thereby improving the encryption, decryption, and key generation time. It is observed that ABECC is 1.7 and 1.4 times faster than the existing approaches of KP-ABE and CP-ABE, respectively.


Cloud security is becoming more essential than ever with the tremendous development of delicate cloud data. The cloud information and services are located in massively scalable data centers and can be accessed anywhere. Unfortunately, the development of cloud users has been followed by an increase in cloud malicious activity. More and more vulnerabilities are being found, and fresh safety advisories are being released almost every day. Millions of customers surf the cloud for different reasons, so they need extremely secure and persistent services. The cloud storage system interconnect with the a load of potential security risks. So the cross encryption of Ciphertext Policy Attribute Based Encryption (CPAB) and Key Policy Attribute-based encryption algorithm which increases the security level in the encryption side. A segmentation part helps in splitting the encrypted file in storing the data in the cloud side, the Desegmentation part in the receiver side can easily combines spitted data into the single file for validation examine an authentication level in the received data. Here the cloud storage easily with the file fragmentation processes. This processes research over the storing mass amount of data on off- site installation, which can eliminate the cost in maintaining the physical hardware. Cloud's future includes a much greater degree of privacy and authentication, particularly in extending the variety of apps. We suggest a straightforward data protection model where data is encrypted before it is introduced in the cloud using key policy attribute-based encryption to ensure data confidentiality and safety. The storing data is the most common application for the cloud server.


2013 ◽  
Vol 14 (2) ◽  
pp. 85-97 ◽  
Author(s):  
Yong Cheng ◽  
Zhi-ying Wang ◽  
Jun Ma ◽  
Jiang-jiang Wu ◽  
Song-zhu Mei ◽  
...  

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