Securing Cloud Data with Pseudonym based Cryptography and Data Deduplication for Cloud Storage

Cloud storage system is to provides facilitative file storage and sharing services for distributed clients.The cloud storage preserve the privacy of data holders by proposing a scheme to manage encrypted data storage with deduplication. This process can flexibly support data sharing with deduplication even when the data holder is offline, and it does not intrude the privacy of data holders. It is an effective approach to verify data ownership and check duplicate storage with secure challenge and big data support. We integrate cloud data deduplication with data access control in a simple way, thus reconciling data deduplication and encryption.We prove the security and assess the performance through analysis and simulation. The results show its efficiency, effectiveness and applicability.In this proposed system the upload data will be stored on the cloud based on date.This means that it has to be available to the data holder who need it when they need it. The web log record represents whether the keyword is repeated or not. Records with only repeated search data are retained in primary storage in cloud. All the other records are stored in temporary storage server. This step reduces the size of the web log thereby avoids the burden on the memory and speeds up the analysis.

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An Improved Blockchain-Based Secure Data Deduplication using Attribute-Based Role Key Generation with Efficient Cryptographic Methods

10.21203/rs.3.rs-596633/v1 ◽

2021 ◽

Author(s):

Ruba S ◽

A.M. Kalpana

Keyword(s):

Cloud Storage ◽

Data Integrity ◽

Cloud Service ◽

Third Party ◽

Key Generation ◽

Data Deduplication ◽

Cloud Data ◽

Redundant Data ◽

Encrypt Data ◽

Secure Data

Abstract Deduplication can be used as a data redundancy removal method that has been constructed to save system storage resources through redundant data reduction in cloud storage. Now a day, deduplication techniques are increasingly exploited to cloud data centers with the growth of cloud computing techniques. Therefore, many deduplication methods were presented by many researchers to eliminate redundant data in cloud storage. For secure deduplication, previous works typically have introduced third-party auditors for the data integrity verification, but it may be suffered from data leak by the third-party auditors. And also the customary methods could not face more difficulties in big data deduplication to correctly consider the two conflicting aims of high duplicate elimination ratio and deduplication throughput. In this paper, an improved blockchain-based secure data deduplication is presented with efficient cryptographic methods to save cloud storage securely. In the proposed method, an attribute-based role key generation (ARKG) method is constructed in a hierarchical tree manner to generate a role key when the data owners upload their data to cloud service provider (CSP) and to allow authorized users to download the data. In our system, the smart contract (agreement between the data owner and CSP) is done using SHA-256 (Secure Hash Algorithm-256) to generate a tamper-proofing ledger for data integrity, in which data is protected from illegal modifications, and duplication detection is executed through hash-tag that can be formed by SHA-256. Message Locked encryption (MLE) is employed to encrypt data for data uploading by the data owners to the CSP. The experimental results show that our proposed secure deduplication scheme can give higher throughput and a low duplicate elimination ratio.

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Secure Deduplication For Cloud Storage Using Memory Mapping Technique For Improving Performance And Security

Journal of University of Shanghai for Science and Technology ◽

10.51201/jusst/21/08498 ◽

2021 ◽

Vol 23 (09) ◽

pp. 1-13

Author(s):

Jibin Joy ◽

◽

Dr. S. Devaraju ◽

Keyword(s):

Cloud Storage ◽

Data File ◽

Mapping Technique ◽

Data Deduplication ◽

Sensitive Data ◽

Cloud Data ◽

Memory Mapping ◽

Encrypt Data ◽

Single Data ◽

Archive Data

Data deduplication is a crucial technique for packing data and reducing duplication when transferring data. It is widely used in the cloud to restrict the usage of capacity memory and aids in transmission capacity sparing. Before redistributing data, an encryption mechanism is used to ensure the integrity of sensitive data during the deduplication process. The SHA algorithm is being used to save data in text format. To generate the security bits, padding is appended to the text. In de-duplication, it calculates the hash, i.e. hexadecimal number, string, and integer data. Hash-based de-duplication is the implementation of whole file hashing to the entire file. Text data’s hash values are considered to as feature properties. In contrast to traditional deduplication solutions, clients that transfer data to the cloud certify duplication inside the cloud data. In virtualization, both limiting primary memory size and memory blockage are considered important bottlenecks. Memory deduplication identifies pages with the same content and merges them into a single data file, reducing memory usage, memory parceling, and improving execution. In cloud storage, the MPT is used to deduplication so that it is used in single copies of the same data for different data owners. If any data users try to replicate the same data, it will be mapped and related to the archive data, implying that the data can’t be stored away. To ensure cloud data security, encryption techniques are used to encrypt data throughout deduplication procedures and prior to outsourcing cloud data.

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Design of an Improved Data Deduplication Technique for Cloud Storage

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v7i2.5156 ◽

2019 ◽

Vol 7 (2) ◽

pp. 51-56

Author(s):

Sunil Gupta ◽

Rajeev Bedi ◽

Amandeep Kaur

Keyword(s):

Cloud Storage ◽

Data Deduplication

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What If Keys Are Leaked? towards Practical and Secure Re-Encryption in Deduplication-Based Cloud Storage

Information ◽

10.3390/info12040142 ◽

2021 ◽

Vol 12 (4) ◽

pp. 142

Author(s):

Weijing You ◽

Lei Lei ◽

Bo Chen ◽

Limin Liu

Keyword(s):

Experimental Evaluation ◽

Cloud Storage ◽

Security Analysis ◽

Encrypted Data ◽

Cloud Data ◽

Storage Cost ◽

Outsourced Data ◽

Proof Of Ownership ◽

Client Side ◽

Over Time

By only storing a unique copy of duplicate data possessed by different data owners, deduplication can significantly reduce storage cost, and hence is used broadly in public clouds. When combining with confidentiality, deduplication will become problematic as encryption performed by different data owners may differentiate identical data which may then become not deduplicable. The Message-Locked Encryption (MLE) is thus utilized to derive the same encryption key for the identical data, by which the encrypted data are still deduplicable after being encrypted by different data owners. As keys may be leaked over time, re-encrypting outsourced data is of paramount importance to ensure continuous confidentiality, which, however, has not been well addressed in the literature. In this paper, we design SEDER, a SEcure client-side Deduplication system enabling Efficient Re-encryption for cloud storage by (1) leveraging all-or-nothing transform (AONT), (2) designing a new delegated re-encryption (DRE), and (3) proposing a new proof of ownership scheme for encrypted cloud data (PoWC). Security analysis and experimental evaluation validate security and efficiency of SEDER, respectively.

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