An Improved RSA Technique with Efficient Data Integrity Verification for Outsourcing Database in Cloud

Neela, K. L.; Kavitha, V.

doi:10.1007/s11277-021-09248-8

Cited by 11 publications

(4 citation statements)

References 28 publications

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“…There are other works similar to the AQP problem, however, they have essential differences so they are sent to another line. For example, Neela et al [18], Guo et al [9] and Rady et al [23] proposes a different encryption…”

Section: Alice Bobmentioning

confidence: 99%

CGCoCoS-ODB: A Cell Granularity Correctness and Completeness Scheme for Outsourced DataBases

Cruz

Henriquez

Hernández

et al. 2022

Preprint

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In Outsourced Databases (ODB), Authenticated Query Processing (AQP) schemes offer to database owners the capabilities of verifying correctness, completeness, and/or freshness over query response, assuming untrusted providers. This paper focuses on the first two capabilities that are oriented to ensure integrity in structured data. The AQP solutions work at different level of granularity, mainly at tuple or cell; being the cell granularity the most recent approach that improves the precision of the query response. Another aspect of AQP solutions is the type of query that supports; selection, range, join, among others. Currently, only one solution works at cell level granularity and exclusively provides the correctness capability for selection queries. In this work, we propose a cryptographic scheme for authenticated query processing a cell level granularity that allows the data owner to verify the correctness and completeness of the selection and range query response. The scheme is based on a novel combination of cuckoo filters, bitmaps, and MACs. The cuckoo filter was used to achieve correctness and the bitmaps along with the MACS were used to ensure completeness. The performance of the scheme was evaluated using the Census-Income database. This data set contains weighted census data extracted from the 1994 and 1995 Current Population Surveys conducted by the U.S. Census Bureau. The experiments were carried out in two phases, the first phase consists of preparing the data. The second phase is the query process, where the queries are divided into select and range queries. The proposed scheme has the ability to provide correctness and completeness of a single cell without retrieving all the other attributes of the same row, minimizing network and storage costs. The scheme was designed and tested against attacks such as rows scrambling, columns scrambling, among others.

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Section: Alice Bobmentioning

confidence: 99%

CGCoCoS-ODB: A Cell Granularity Correctness and Completeness Scheme for Outsourced DataBases

Cruz

Henriquez

Hernández

et al. 2022

Preprint

View full text Add to dashboard Cite

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“…Cloud computing has gained extensive popularity because of outsourcing computations and rendering storage necessities dependent upon user availability. The users can utilize the resources over the Internet including applications, services, bandwidth and storage on the basis of shared services 1 . The fundamental feature of cloud computing is the centralized outsourcing of user data, whereas the cloud service provider (CSP) acts as a resource provider.…”

Section: Introductionmentioning

confidence: 99%

Blockchain assisted blind signature algorithm with data integrity verification scheme

Shrivastava,

Alam,

Alam

2024

Concurrency and Computation

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SummaryAs the demand for cloud storage systems increases, ensuring the security and integrity of cloud data becomes a challenge. Data uploaded to cloud systems are vulnerable to numerous sorts of assaults, which must be handled appropriately to avoid data tampering issues. In addition, quantum computers are expected to be introduced soon, which may face multiple security issues by destroying all traditional cryptosystems. This work introduces a quantum‐resistant blockchain centered data integrity verification system with the use of several techniques. Initially, the keys and signatures are generated by the users with the help of the lattice‐based blind signature algorithm (L_BSA), which is a combination of lattice cryptography and a blind signature algorithm. From the generated random keys, the most optimal key is then selected by the Puzzle Optimization Algorithm (POA), which is then made available to the encryption phase. Then, the upgraded Merkle tree‐assisted vacuum filter (Vac‐UMT) algorithm is executed to accomplish the encryption task. Then the data are converted into blocks using blockchain technology and uploaded to the cloud. When receiving the audit requests, the verification process is carried out, and the evidence report is generated for the users. The proposed work is simulated in JAVA and assessed with the UNSW‐NB15 dataset, and the outcomes demonstrated that the system is highly efficient and secure.

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“…Cloud computing has grown in popularity as a result of the outsourcing of processing and the rendering of storage requirements depending on user availability. On the basis of shared services, users can access resources such as applications, services, bandwidth, and storage via the internet [1]. The essential aspect of cloud computing is the centralized outsourcing of user data, with the CSP acting as a resource provider.…”

Section: Introductionmentioning

confidence: 99%

Blockchain based Quantum Resistant Signature Algorithm for Data Integrity Verification in Cloud and Internet of Everything

Shrivastava,

Alam,

Alam

2024

ICST Transactions on Scalable Information Systems

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INTRODUCTION: The processing and storage capacities of the Internet of Everything (IoE) platform are restricted, but the cloud can readily provide efficient computing resources and scalable storage. The Internet of Everything (IoE) has expanded its capabilities recently by employing cloud resources in multiple ways. Cloud service providers (CSP) offer storage resources where extra data can be stored. These methods can be used to store user data over the CSP while maintaining data integrity and security. The secure storage of data is jeopardized by concerns like malicious system damage, even though the CSP's storage devices are highly centralized. Substantial security advancements have been made recently as a result of using blockchain technology to protect data transported to networks. In addition, the system's inclusive efficacy is enhanced, which lowers costs in comparison to earlier systems. OBJECTIVES: The main objective of the study is to a blockchain-based data integrity verification scheme is presented to provide greater scalability and utilization of cloud resources while preventing data from entering the cloud from being corrupted. METHODS: In this paper, we propose a novel method of implementing blockchain in order to enhance the security of data stores in cloud. RESULTS: The simulations indicate that the proposed approach is more effective in terms of data security and data integrity. Furthermore, the comparative investigation demonstrated that the purported methodology is far more effective and competent than prevailing methodologies. CONCLUSIONS: The model evaluations demonstrated that the proposed approach is quite effective in data security.

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An Improved RSA Technique with Efficient Data Integrity Verification for Outsourcing Database in Cloud

Cited by 11 publications

References 28 publications

CGCoCoS-ODB: A Cell Granularity Correctness and Completeness Scheme for Outsourced DataBases

CGCoCoS-ODB: A Cell Granularity Correctness and Completeness Scheme for Outsourced DataBases

Blockchain assisted blind signature algorithm with data integrity verification scheme

Blockchain based Quantum Resistant Signature Algorithm for Data Integrity Verification in Cloud and Internet of Everything

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