scholarly journals An efficient and secure data sharing scheme for mobile devices in cloud computing

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Xiuqing Lu ◽  
Zhenkuan Pan ◽  
Hequn Xian
Keyword(s):  
Cloud Computing ◽  
Mobile Devices ◽  
Data Sharing ◽  
Data Privacy ◽  
Mobile Terminals ◽  
Sensitive Data ◽  
Integrity Verification ◽  
Sharing Scheme ◽  
Secure Data ◽  
Authorized Access

Abstract With the development of big data and cloud computing, more and more enterprises prefer to store their data in cloud and share the data among their authorized employees efficiently and securely. So far, many different data sharing schemes in different fields have been proposed. However, sharing sensitive data in cloud still faces some challenges such as achieving data privacy and lightweight operations at resource constrained mobile terminals. Furthermore, most data sharing schemes have no integrity verification mechanism, which would result in wrong computation results for users. To solve the problems, we propose an efficient and secure data sharing scheme for mobile devices in cloud computing. Firstly, the scheme guarantees security and authorized access of shared sensitive data. Secondly, the scheme realizes efficient integrity verification before users share the data to avoid incorrect computation. Finally, the scheme achieves lightweight operations of mobile terminals on both data owner and data requester sides.

scholarly journals A Secure Ciphertext Retrieval Scheme against Insider KGAs for Mobile Devices in Cloud Storage

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Run Xie ◽  
Chanlian He ◽  
Dongqing Xie ◽  
Chongzhi Gao ◽  
Xiaojun Zhang
Keyword(s):  
Cloud Computing ◽  
Mobile Devices ◽  
Data Privacy ◽  
Security Analysis ◽  
Data Retrieval ◽  
Sensitive Data ◽  
Encrypted Data ◽  
Security Issues ◽  
Efficiency Comparison ◽  
Cloud Servers

With the advent of cloud computing, data privacy has become one of critical security issues and attracted much attention as more and more mobile devices are relying on the services in cloud. To protect data privacy, users usually encrypt their sensitive data before uploading to cloud servers, which renders the data utilization to be difficult. The ciphertext retrieval is able to realize utilization over encrypted data and searchable public key encryption is an effective way in the construction of encrypted data retrieval. However, the previous related works have not paid much attention to the design of ciphertext retrieval schemes that are secure against inside keyword-guessing attacks (KGAs). In this paper, we first construct a new architecture to resist inside KGAs. Moreover we present an efficient ciphertext retrieval instance with a designated tester (dCRKS) based on the architecture. This instance is secure under the inside KGAs. Finally, security analysis and efficiency comparison show that the proposal is effective for the retrieval of encrypted data in cloud computing.

A Lightweight Secure Data Sharing Scheme for Mobile Cloud Computing

2018 ◽  
Vol 6 (2) ◽  
pp. 344-357 ◽  
Author(s):  
Ruixuan Li ◽  
Chenglin Shen ◽  
Heng He ◽  
Xiwu Gu ◽  
Zhiyong Xu ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Data Sharing ◽  
Mobile Cloud Computing ◽  
Mobile Cloud ◽  
Sharing Scheme ◽  
Secure Data

scholarly journals A Cheating Detectable Privacy-Preserving Data Sharing Scheme for Cloud Computing

2018 ◽  
Vol 2018 ◽  
pp. 1-13
Author(s):  
Xin Wang ◽  
Bo Yang ◽  
Zhe Xia ◽  
Yanqi Zhao ◽  
Huifang Yu
Keyword(s):  
Cloud Computing ◽  
Data Sharing ◽  
Data Privacy ◽  
Security Analysis ◽  
Security Requirements ◽  
Personal Health ◽  
Computational Costs ◽  
Medical Environment ◽  
Sharing Scheme ◽  
Medical Diagnostic

Cloud computing provides a new, attractive paradigm for the effective sharing of storage and computing resources among global consumers. More and more enterprises have begun to enter the field of cloud computing and storing data in the cloud to facilitate the sharing data among users. However, in many cases, users may be concerned about data privacy, trust, and integrity. It is challenging to provide data sharing services without sacrificing these security requirements. In this paper, a data sharing scheme of reliable, secure, and privacy protection based on general access structure is introduced. The proposed scheme is not only effective and flexible, but also is capable of protecting privacy for the cloud owner, supporting data sharing under supervision, enabling accountability of users’ decryption keys, and identifying cheaters if some users behave dishonestly. Security analysis and efficiency analysis demonstrate that our proposed scheme has better performance in computational costs compared with most related works. The scheme is versatile to be used in various environments. For example, it is particularly suitable to be employed to protect personal health data and medical diagnostic data in information medical environment.

scholarly journals A Secure and Lightweight Fine-Grained Data Sharing Scheme for Mobile Cloud Computing

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4720 ◽  
Author(s):  
Haifeng Li ◽  
Caihui Lan ◽  
Xingbing Fu ◽  
Caifen Wang ◽  
Fagen Li ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Mobile Devices ◽  
Data Sharing ◽  
Mobile Cloud Computing ◽  
Mobile Cloud ◽  
Security Level ◽  
Resource Constrained ◽  
Fine Grained ◽  
Sharing Scheme ◽  
Security Proof

With the explosion of various mobile devices and the tremendous advancement in cloud computing technology, mobile devices have been seamlessly integrated with the premium powerful cloud computing known as an innovation paradigm named Mobile Cloud Computing (MCC) to facilitate the mobile users in storing, computing and sharing their data with others. Meanwhile, Attribute Based Encryption (ABE) has been envisioned as one of the most promising cryptographic primitives for providing secure and flexible fine-grained “one to many” access control, particularly in large scale distributed system with unknown participators. However, most existing ABE schemes are not suitable for MCC because they involve expensive pairing operations which pose a formidable challenge for resource-constrained mobile devices, thus greatly delaying the widespread popularity of MCC. To this end, in this paper, we propose a secure and lightweight fine-grained data sharing scheme (SLFG-DSS) for a mobile cloud computing scenario to outsource the majority of time-consuming operations from the resource-constrained mobile devices to the resource-rich cloud servers. Different from the current schemes, our novel scheme can enjoy the following promising merits simultaneously: (1) Supporting verifiable outsourced decryption, i.e., the mobile user can ensure the validity of the transformed ciphertext returned from the cloud server; (2) resisting decryption key exposure, i.e., our proposed scheme can outsource decryption for intensive computing tasks during the decryption phase without revealing the user’s data or decryption key; (3) achieving a CCA security level; thus, our novel scheme can be applied to the scenarios with higher security level requirement. The concrete security proof and performance analysis illustrate that our novel scheme is proven secure and suitable for the mobile cloud computing environment.

scholarly journals An Efficient Data Sharing and Retrieval Method for Cloud Computing

2020 ◽  
Vol 9 (6) ◽  
pp. 458-460
Keyword(s):  
Cloud Computing ◽  
Mobile Devices ◽  
Data Sharing ◽  
Research Work ◽  
Data Access ◽  
Local Data ◽  
Sensitive Data ◽  
Retrieval Method ◽  
User Data ◽  
Efficient Data

now a days mobile devices can use cloud for data Access and manipulation without knowing overhead of local data management this may lead to leakage of sensitive data. Major disadvantage is to provide security for the user data , so this leads to concern for the user to access cloud computing. Lot of Research work carried out to provide security to user data over cloud computing, However these solutions are not resolve issues of mobile cloud computing due to constrained resource in mobile devices[2]. To overcome these issues, proposed methodology efficient data sharing and retrieval method, provide secure access control terminology using attribute based encryption in cloud platforms, as well as by using lazy-revocation technique will reduce user revocation cost

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