scholarly journals Secured Cloud Data Transmission using Cross ABE Algorithm

2020 ◽  
Vol 9 (3) ◽  
pp. 3803-3806
Keyword(s):  
Cloud Storage ◽  
Storage System ◽  
Security Level ◽  
Cloud Data ◽  
Malicious Activity ◽  
Attribute Based Encryption ◽  
Key Policy ◽  
Ciphertext Policy ◽  
The Cost ◽  
Common Application

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.

scholarly journals Multi-security-level cloud storage system based on improved proxy re-encryption

2019 ◽  
Vol 2019 (1) ◽  
Author(s):  
Jinan Shen ◽  
Xuejian Deng ◽  
Zhenwu Xu
Keyword(s):  
Performance Optimization ◽  
Cloud Storage ◽  
Storage System ◽  
Security Requirements ◽  
Control Factor ◽  
Security Level ◽  
Fine Grained ◽  
Attribute Based Encryption ◽  
And Performance ◽  
Heterogeneous Cloud

AbstractBased on the characteristics and data security requirements of the cloud environment, we present a scheme for a multi-security-level cloud storage system that is combined with AES symmetric encryption and an improved identity-based proxy re-encryption (PRE) algorithm. Our optimization includes support for fine-grained control and performance optimization. Through a combination of attribute-based encryption methods, we add a fine-grained control factor to our algorithm in which each authorization operation is only valid for a single factor. By reducing the number of bilinear mappings, which are the most time-consuming processes, we achieve our aim of optimizing performance. Last but not least, we implement secure data sharing among heterogeneous cloud systems. As shown in experiment, our proposed multi-security-level cloud storage system implements services such as the direct storage of data, transparent AES encryption, PRE protection that supports fine-grained and ciphertext heterogeneous transformation, and other functions such as authentication and data management. In terms of performance, we achieve time-cost reductions of 29.8% for the entire process, 48.3% for delegation and 47.2% for decryption.

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.

scholarly journals Modified Ciphertext-Policy Attribute-Based Encryption Scheme with Efficient Revocation for PHR System

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Hongying Zheng ◽  
Jieming Wu ◽  
Bo Wang ◽  
Jianyong Chen
Keyword(s):  
Cloud Storage ◽  
Personal Health Record ◽  
Storage System ◽  
Personal Health ◽  
Encryption Scheme ◽  
Promising Technique ◽  
Access Policy ◽  
Attribute Based Encryption ◽  
Role Based ◽  
Ciphertext Policy

Attribute-based encryption (ABE) is considered a promising technique for cloud storage where multiple accessors may read the same file. For storage system with specific personal health record (PHR), we propose a modified ciphertext-policy attribute-based encryption scheme with expressive and flexible access policy for public domains. Our scheme supports multiauthority scenario, in which the authorities work independently without an authentication center. For attribute revocation, it can generate different update parameters for different accessors to effectively resist both accessor collusion and authority collusion. Moreover, a blacklist mechanism is designed to resist role-based collusion. Simulations show that the proposed scheme can achieve better performance with less storage occupation, computation assumption, and revocation cost compared with other schemes.

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
Keyword(s):  
Cloud Computing ◽  
Cloud Storage ◽  
Fine Grained ◽  
The Past ◽  
Attribute Based Encryption ◽  
Key Policy ◽  
The Common ◽  
Ciphertext Policy ◽  
Server Maintenance ◽  
Better Than

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. 

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

Research on Data Destruction Mechanism with Security Level in HDFS

2013 ◽  
Vol 834-836 ◽  
pp. 1795-1798
Author(s):  
Jun Qin ◽  
Ya Ping Zhang ◽  
Ping Zong
Keyword(s):  
Data Security ◽  
Cloud Storage ◽  
Storage System ◽  
Security Requirements ◽  
Security Level ◽  
Primary Concern ◽  
Simulation Experiments ◽  
Performance Requirements ◽  
Destruction Mechanism ◽  
And Performance

In cloud computing applications, the data security is a primary concern of user. In this paper, for the problem that data of the HDFS cannot be destroyed completely in open source cloud storage system, which may lead to data leakage, it designs a destruction mechanism of HDFS with multiple security level. This mechanism make data effectively destroyed by the method of data overwrite which makes a balance between security requirements and performance requirements. The Simulation experiments show that the mechanism can override a Block file in HDFS environment effectively to achieve the purpose of data destroying. At the same the overhead of different overwrite algorithm is different also which can ensure the security and efficiency is balanced.

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