scholarly journals Attribute-Based Privacy-Preserving Data Sharing for Dynamic Groups in Cloud Computing

2021 ◽  
pp. 585-590
Author(s):  
K. V. Uma Maheswari ◽  
Dr. Dhanaraj Cheelu
Keyword(s):  
Cloud Computing ◽  
Data Sharing ◽  
Resource Sharing ◽  
Group Signature ◽  
Broadcast Encryption ◽  
Frequent Change ◽  
Storage Overhead ◽  
Share Data ◽  
Identity Privacy ◽  
Cloud Users

Cloud computing is recognized as an alternative to traditional information technology due to its intrinsic resource sharing and low maintenance characteristics. Cloud computing provides an economical and efficient solution for sharing group resource among cloud users. Unfortunately, when sharing the data in a group while preserving data, identity privacy is still a challenging issue due to frequent change in membership. In overcome this problem, a secure data sharing scheme for dynamic groups is proposed so that any user within a group can share the data in a secure manner by leveraging both the group signature and dynamic broadcast encryption techniques. It should enable any cloud user to anonymously share data with others within the group and support efficient member revocation. The storage overhead and encryption computation cost are dependent on the number of revoked users.

scholarly journals Review on dynamic group data sharing in cloud environment

2018 ◽  
Vol 7 (2) ◽  
pp. 646
Author(s):  
Sathishkumar Easwaramoorthy ◽  
Anilkumar Chunduru ◽  
Usha Moorthy ◽  
Sravankumar B
Keyword(s):  
Cloud Computing ◽  
Data Sharing ◽  
Service Providers ◽  
Cloud Service ◽  
Third Party ◽  
Continuous Change ◽  
Frequent Change ◽  
Dynamic Group ◽  
Group Data ◽  
Cloud Users

Information sharing or exchange of data within entities plays a significant role in cloud storage. In cloud computing, a robust and practical methodology is developed which can be utilized by cloud users for sharing information among multiple group members in the cloud with lowered maintenance and management costs. Furthermore, a service provider in the cloud does not share data with anyone other than the Trusted Third Party (TTP) sources due to the semi-trusted characteristics of the cloud. In this way, there is no global security mechanism for dynamic group data sharing over the cloud. Subsequently, the Cloud Service Providers (CSPs) can convey different services to cloud users through powerful data centres. Hence, data is secured through the validation of users in the cloud. Meanwhile, CSPs should offer outsourced security assurance for data file sharing. Assuring privacy in data sharing is still a critical issue due to continuous change in cloud users, particularly, for unauthenticated or third party users because of the risk of collusion attacks. However, security concerns turn into a major restraint as outsourcing storage data is perhaps a delicate concern for cloud providers. Additionally, sharing information in a multi-proprietary approach while protecting information and individual security to the data from unauthorized or third party users is still a challenging task as there is a frequent change in cloud members. In this regard, previous studies are reviewed and discussed which are related to dynamic group data sharing using cloud computing.

scholarly journals Unified Ciphertext-Policy Weighted Attribute-Based Encryption for Sharing Data in Cloud Computing

2018 ◽  
Vol 8 (12) ◽  
pp. 2519
Author(s):  
Wei Li ◽  
Wei Ni ◽  
Dongxi Liu ◽  
Ren Liu ◽  
Shoushan Luo
Keyword(s):  
Cloud Computing ◽  
Mutual Information ◽  
Data Sharing ◽  
Rapid Development ◽  
Sharing Scheme ◽  
Attribute Based Encryption ◽  
Share Data ◽  
Efficient Data ◽  
Ciphertext Policy ◽  
Access Policies

With the rapid development of cloud computing, it is playing an increasingly important role in data sharing. Meanwhile, attribute-based encryption (ABE) has been an effective way to share data securely in cloud computing. In real circumstances, there is often a mutual access sub-policy in different providers’ access policies, and the significance of each attribute is usual diverse. In this paper, a secure and efficient data-sharing scheme in cloud computing, which is called unified ciphertext-policy weighted attribute-based encryption (UCP-WABE), is proposed. The weighted attribute authority assigns weights to attributes depending on their importance. The mutual information extractor extracts the mutual access sub-policy and generates the mutual information. Thus, UCP-WABE lowers the total encryption time cost of multiple providers. We prove that UCP-WABE is selectively secure on the basis of the security of ciphertext-policy weighted attribute-based encryption (CP-WABE). Additionally, the results of the implementation shows that UCP-WABE is efficient in terms of time.

scholarly journals Adopting and Implementing a Government Cloud in Saudi Arabia, an Integral Part of Vision 2030

10.29007/848q ◽  
2019 ◽  
Author(s):  
Mohammed O. Alannsary ◽  
Yasser M. Hausawi
Keyword(s):  
Cloud Computing ◽  
Saudi Arabia ◽  
Resource Sharing ◽  
Cost Reduction ◽  
Software As A Service ◽  
Government Sector ◽  
Vision 2030 ◽  
The Government ◽  
Cloud Users

Cloud computing is a relatively mature and robust technology that has promised its users with several proven advantages, such as cost reduction, immediate scalability, and resource sharing. The Cloud is built based on providing resources as services, such as providing Infrastructure, Platform, and Software as a Service. Such approach enables Cloud users to access these services based on their demand. In the government sector of Saudi Arabia, adoption and utilization of the Cloud is minimal. Despite being adopted officially, the Cloud has not been yet implemented properly. In our work we introduce how the government sector in Saudi Arabia can adopt and implement a Cloud Solution through utilizing its services and while considering issues related to its security.

scholarly journals Security Problems in Cloud Computing

2016 ◽  
Vol 4 (4) ◽  
pp. 36 ◽  
Author(s):  
Rola Motawie ◽  
Mahmoud M. El-Khouly ◽  
Samir Abou El-Seoud
Keyword(s):  
Cloud Computing ◽  
Resource Sharing ◽  
Cost Savings ◽  
Security Threats ◽  
Computing Technology ◽  
Privacy And Security ◽  
New Concepts ◽  
Mobile Accessibility ◽  
Cloud Users ◽  
Day By Day

Cloud is a pool of computing resources which are distributed among cloud users. Cloud computing has many benefits like scalability, flexibility, cost savings, reliability, maintenance and mobile accessibility. Since cloud-computing technology is growing day by day, it comes with many security problems. Securing the data in the cloud environment is most critical challenges which act as a barrier when implementing the cloud. There are many new concepts that cloud introduces, such as resource sharing, multi-tenancy, and outsourcing, create new challenges for the security community. In this work, we provide a comparable study of cloud computing privacy and security concerns. We identify and classify known security threats, cloud vulnerabilities, and attacks.

scholarly journals Secure Deduplication Based on Rabin Fingerprinting over Wireless Sensing Data in Cloud Computing

2018 ◽  
Vol 2018 ◽  
pp. 1-12
Author(s):  
Yinghui Zhang ◽  
Haonan Su ◽  
Menglei Yang ◽  
Dong Zheng ◽  
Fang Ren ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Security Analysis ◽  
Operation Time ◽  
Communication Cost ◽  
Wireless Sensing ◽  
Data Deduplication ◽  
Sensing Data ◽  
Storage Overhead ◽  
Block Level ◽  
Cloud Users

The rapid advancements in the Internet of Things (IoT) and cloud computing technologies have significantly promoted the collection and sharing of various data. In order to reduce the communication cost and the storage overhead, it is necessary to exploit data deduplication mechanisms. However, existing data deduplication technologies still suffer security and efficiency drawbacks. In this paper, we propose two secure data deduplication schemes based on Rabin fingerprinting over wireless sensing data in cloud computing. The first scheme is based on deterministic tags and the other one adopts random tags. The proposed schemes realize data deduplication before the data is outsourced to the cloud storage server, and hence both the communication cost and the computation cost are reduced. In particular, variable-size block-level deduplication is enabled based on the technique of Rabin fingerprinting which generates data blocks based on the content of the data. Before outsourcing data to the cloud, users encrypt the data based on convergent encryption technologies, which protects the data from being accessed by unauthorized users. Our security analysis shows that the proposed schemes are secure against offline brute-force dictionary attacks. In addition, the random tag makes the second scheme more reliable. Extensive experimental results indicate that the proposed data deduplication schemes are efficient in terms of the deduplication rate, the system operation time, and the tag generation time.

scholarly journals FX Job Recruitment

2021 ◽  
Vol 10 (02) ◽  
pp. 239-249
Author(s):  
Padmanaban Padmanaban ◽  
Sujitha Sujitha ◽  
Muppidathi @Priya
Keyword(s):  
Web Application ◽  
Security Analysis ◽  
Frequent Change ◽  
Current Form ◽  
Cloud Resource ◽  
Job Vacancy ◽  
Secret Keys ◽  
Share Data ◽  
Identity Privacy ◽  
Data Files

In this project present a secure and privacy-preserving access control to users, which guarantee any member in a group to anonymously utilize the cloud resource. Moreover, the real identities of data owners can be revealed by the group manager when disputes occur. In this project provide rigorous security analysis, and perform extensive simulations to demonstrate the efficiency of our scheme in terms of storage and computation overhead. Cloud computing provides an economical and efficient solution for sharing group resource among cloud users. Unfortunately, sharing data in a multi-job portal manner while preserving data and identity privacy from an un trusted cloud is still a challenging issue, due to the frequent change of the membership . The major aims of this method a secure multi-owner data sharing scheme. It implies that any user in the group can securely share data with others by the un trusted cloud. This scheme is able to support dynamic groups. Efficiently, specifically, new granted users can directly decrypt data files uploaded before their participation without contacting with data owners. User revocation can be easily achieved through a novel revocation list without updating the secret Keys of the remaining users. The size and computation overhead of encryption are constant and Independent with the number of revoked users. Job portal is developed for creating an interactive job vacancy for candidates. This web application is to be conceived in its current form as a dynamic site-requiring constant updates both from the seekers as well as the companies. On the whole the objective of the project is to enable jobseekers to place their resumes and companies to publish their vacancies.

scholarly journals Markle Hellman Knapsack Crypto-System Auditing Scheme for Privacy Preserving in Cloud Storage

2019 ◽  
Vol 8 (12) ◽  
pp. 5231-5238
Keyword(s):  
Cloud Computing ◽  
Generation Time ◽  
Cloud Storage ◽  
Data Integrity ◽  
Privacy Preserving ◽  
Key Generation ◽  
On Demand ◽  
Storage Overhead ◽  
And Storage ◽  
Cloud Users

Cloud computing is an on demand paradigm which provides a different kind of services to the cloud users. Cloud storage is the most popular service, as the data owners are free from the data management and storage overhead. However, the data owners’ concern about the security of the data. In order to address this issue, this paper presents an efficient security with an auditing scheme that guarantees the security of the data and preserve data integrity. In this paper, the cloud storage auditing model used efficient privacy preserving algorithm, namely Markle Hellman Knapsack Crypto-System (MHKCS) algorithm. This algorithm effectively improves the data integrity, confidentiality and security. Moreover, reduces the key generation time, encryption time and decryption time. The performance of MHKCS algorithm is calculated using evaluation metrics like encryption time, decryption time, key generation time and communication cost. The MHKCS algorithm achieved approximately 10% better performance in terms of encryption time than the existing methods RSA, MRSA, and MRSAC.

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