scholarly journals Study of privacy-preserving framework for cloud storage

2011 ◽  
Vol 8 (3) ◽  
pp. 801-819 ◽  
Author(s):  
Huang Ruwei ◽  
Gui Xiaolin ◽  
Yu Si ◽  
Zhuang Wei
Keyword(s):  
Data Storage ◽  
Cloud Storage ◽  
Security Analysis ◽  
Bloom Filter ◽  
Data Access ◽  
Data Retrieval ◽  
Privacy Preserving ◽  
Index Structure ◽  
Structure Generation ◽  
Access Right

In order to implement privacy-preserving, efficient and secure data storage and access environment of cloud storage, the following problems must be considered: data index structure, generation and management of keys, data retrieval, treatments of change of users? access right and dynamic operations on data, and interactions among participants. To solve those problems, the interactive protocol among participants is introduced, an extirpation-based key derivation algorithm (EKDA) is designed to manage the keys, a double hashed and weighted Bloom Filter (DWBF) is proposed to retrieve the encrypted keywords, which are combined with lazy revocation, multi-tree structure, asymmetric and symmetric encryptions, which form a privacypreserving, efficient and secure framework for cloud storage. The experiment and security analysis show that EKDA can reduce the communication and storage overheads efficiently, DWBF supports ciphertext retrieval and can reduce communication, storage and computation overhead as well, and the proposed framework is privacy preserving while supporting data access efficiently.

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.

scholarly journals SmartMedChain: A Blockchain-Based Privacy-Preserving Smart Healthcare Framework

2021 ◽  
Vol 2021 ◽  
pp. 1-19
Author(s):  
Driss El Majdoubi ◽  
Hanan El Bakkali ◽  
Souad Sadki
Keyword(s):  
Data Storage ◽  
Healthcare Providers ◽  
Security Analysis ◽  
Data Access ◽  
Healthcare Services ◽  
Privacy Preserving ◽  
Security And Privacy ◽  
Distributed Data Storage ◽  
Smart Healthcare ◽  
Data Access Control

Nowadays, the adoption of Internet of Things (IoT) technology worldwide is accelerating the digital transformation of healthcare industry. In this context, smart healthcare (s-healthcare) solutions are ensuring better and innovative opportunities for healthcare providers to improve patients’ care. However, these solutions raise also new challenges in terms of security and privacy due to the diversity of stakeholders, the centralized data management, and the resulting lack of trustworthiness, accountability, and control. In this paper, we propose an end-to-end Blockchain-based and privacy-preserving framework called SmartMedChain for data sharing in s-healthcare environment. The Blockchain is built on Hyperledger Fabric and stores encrypted health data by using the InterPlanetary File System (IPFS), a distributed data storage solution with high resiliency and scalability. Indeed, compared to other propositions and based on the concept of smart contracts, our solution combines both data access control and data usage auditing measures for both Medical IoT data and Electronic Health Records (EHRs) generated by s-healthcare services. In addition, s-healthcare stakeholders can be held accountable by introducing an innovative Privacy Agreement Management scheme that monitors the execution of the service in respect of patient preferences and in accordance with relevant privacy laws. Security analysis and experimental results show that the proposed SmartMedChain is feasible and efficient for s-healthcare environments.

Security Analysis on a Public POR Scheme in Cloud Storage

2014 ◽  
Vol 556-562 ◽  
pp. 5395-5399
Author(s):  
Jian Hong Zhang ◽  
Wen Jing Tang
Keyword(s):  
Data Storage ◽  
Cloud Storage ◽  
Security Analysis ◽  
Data Integrity ◽  
Data File ◽  
Cloud Data ◽  
Security Proof ◽  
Cloud Server ◽  
Cloud Data Storage ◽  
Active Attack

Data integrity is one of the biggest concerns with cloud data storage for cloud user. Besides, the cloud user’s constrained computing capabilities make the task of data integrity auditing expensive and even formidable. Recently, a proof-of-retrievability scheme proposed by Yuan et al. has addressed the issue, and security proof of the scheme was provided. Unfortunately, in this work we show that the scheme is insecure. Namely, the cloud server who maliciously modifies the data file can pass the verification, and the client who executes the cloud storage auditing can recover the whole data file through the interactive process. Furthermore, we also show that the protocol is vulnerable to an efficient active attack, which means that the active attacker is able to arbitrarily modify the cloud data without being detected by the auditor in the auditing process. After giving the corresponding attacks to Yuan et al.’s scheme, we suggest a solution to fix the problems.

Data Storage Scheme of Sensor Network Based on HDFS

2014 ◽  
Vol 926-930 ◽  
pp. 2462-2465 ◽  
Author(s):  
Hui Xiang Zhou ◽  
Qiao Yan Wen
Keyword(s):  
Sensor Network ◽  
Data Storage ◽  
Cloud Storage ◽  
High Reliability ◽  
Storage System ◽  
Security Analysis ◽  
Storage Security ◽  
Mass Data ◽  
Storage Scheme ◽  
Multiple Copies

In order to solve the problem of growing massive of data in sensor network, we propose a new scheme of data storage for sensor network based on HDFS which is a cloud-based storage platform, it effectively alleviate the pressure of mass data storage on sensor network, and improved the scalability of storage system and part of the enhanced the data storage security on sensor network. And this scheme is based on cloud storage platform, storage the data which collected by sensors to each data node using a distributed architecture solution, and keep multiple copies of data in order to maintain its high reliability of data. As reducing the pressure of data storage, but also protects the security of stored data as shown by security analysis.

scholarly journals An Effectual Homomorphic Tag Based Block for Dynamic Provable Data Possession Framework Based on Block Tagging the Cloud File

2019 ◽  
Vol 8 (2S3) ◽  
pp. 773-782
Keyword(s):  
Data Storage ◽  
Cloud Storage ◽  
Block Size ◽  
Data Integrity ◽  
Data Access ◽  
Provable Data Possession ◽  
Storage Server ◽  
Security Enhancement ◽  
Major Benefit ◽  
Variable Block

Storing the data in cloud helps in satisfying the demand of data access at anyplace, anytime. In cloud storage, users authenticate whether the data has been stored to the cloud storage server correctly. In order to enhance the storage provision, an Effectual Homomorphic Tag based Block for Dynamic Provable Data Possession (EHTB-DPDP) framework has been designed. This framework checks for the data integrity in the cloud storage server. The existing PDP, DPDP schemes were analyzed and the drawbacks encountered in those systems have been reframed using the proposed methodology. The major benefit of the proposed EHTB-DPDP is that it offers an effectual dynamic provable data possession and data integrity. This scheme spotlights on the integrity of the remote data by reducing data storage space, so that users can retrieve data efficiently. This security enhancement is achieved by the block tagging methodology. In addition, converting the variable block size to the fixed block size using hash function is also investigated. The feasibility of the scheme is proved by aanlyzing the security and the performance

scholarly journals Data Secure Algorithm in Cloud Storage

2020 ◽  
Vol 9 (3) ◽  
pp. 2632-2635
Keyword(s):  
Cloud Storage ◽  
Control Measure ◽  
Security Analysis ◽  
Data Access ◽  
Bilinear Pairing ◽  
Cloud Environment ◽  
Security Issues ◽  
Data Access Control ◽  
Cloud Server ◽  
System States

The challenging task is protecting the data which are uploaded to the cloud becomes bigger worries in a cloud environment system. In this type of security is needed for monitoring of data access in a cloud environment and is getting more and more attention in recent days. Few strategies which can be afford for top-secret and an unknown authentication for delicate information and it is more efficient than doing the encrypting data first and then sign or doing the sign first then encrypting the data. However, in so many previous work, delicate information of data users can be reveal to authority, and only the authority is responsible to answer to that type of attribute management and generation of key in the system. The proposed system states that confidentiality and protective of data access control over the cipher text scheme based on cloud security. It is provide a control measure, attribute confidentiality and guard the data’s of user concurrently in a multiple authority cloud system. Both the attributes of designcryptor and signcryptor can be kept secret by not knowing to the authorities and cloud storage server. Besides, decryption in the clouds for users as becomes meaningfully reduced by outsourcing the unwanted bilinear pairing process to the cloud server without humiliating the attribute privacy. The planned scheme is confirmed for protecting the standard model and has the skill to provide top secret, unforged, unknown authentication, and verifiability of public. The security analysis which are relating to comparison of difficulty and results of execution will indicate that the proposed system has the capacity to balance the security issues with respect to computation in hypothetical efficiency.

scholarly journals Secure Content De-Duplication Utilizing Efficient Content Discovery and Preserving De-Duplication (Ecdpd)

2019 ◽  
Vol 8 (12S) ◽  
pp. 986-990
Keyword(s):  
Access Control ◽  
Data Storage ◽  
Cloud Storage ◽  
Storage System ◽  
Data Access ◽  
Data File ◽  
Data Deduplication ◽  
Efficient Technology ◽  
Data Access Control ◽  
Content Discovery

Cloud computing, an efficient technology that utilizes huge amount of data file storage with security. However, the content owner does not controlling data access for unauthorized clients and does not control data storage and usage of data. Some previous approaches data access control to help data de-duplication concurrently for cloud storage system. Encrypted data for cloud storage is not effectively handled by current industrial de-duplication solutions. The deduplication is unguarded from brute-force attacks and fails in supporting control of data access .An efficient data confining technique that eliminates redundant data’s multiple copies which is commonly used is Data-Deduplication. It reduces the space needed to store these data and thus bandwidth is saved. An efficient content discovery and preserving De-duplication (ECDPD) algorithm that detects client file range and block range of de-duplication in storing data files in the cloud storage system was proposed to overpower the above problems.Data access control is supported by ECDPD actively. Based on Experimental evaluations, proposed ECDPD method reduces 3.802 milliseconds of DUT (Data Uploading Time) and 3.318 milliseconds of DDT (Data Downloading Time) compared than existing approaches

A Robust Lightweight Data Security Model for Cloud Data Access and Storage

2021 ◽  
Vol 16 (3) ◽  
pp. 39-53
Author(s):  
Pajany M. ◽  
Zayaraz G.
Keyword(s):  
Data Storage ◽  
Data Security ◽  
Data Access ◽  
Data Retrieval ◽  
Security Model ◽  
Cloud Data ◽  
Data Merging ◽  
Major Benefit ◽  
Proposed Model ◽  
And Storage

In this paper, an efficient lightweight cloud-based data security model (LCDS) is proposed for building a secured cloud database with the assistance of intelligent rules, data storage, information collection, and security techniques. The major intention of this study is to introduce a new encryption algorithm to secure intellectual data, proposing a new data aggregation algorithm for effective data storage and improved security, developing an intelligent data merging algorithm for accessing encrypted and original datasets. The major benefit of the proposed model is that it is fast in the encryption process at the time of data storage and reduced decryption time during data retrieval. In this work, the authors proposed an enhanced version of the hybrid crypto algorithm (HCA) for cloud data access and storage. The proposed system provides secured storage for storing data within the cloud.

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