An effective, secure and efficient tagging method for integrity protection of outsourced data in a public cloud storage

ALmarwani, Reem; Zhang, Ning; Garside, Jim

doi:10.1371/journal.pone.0241236

Cited by 7 publications

(5 citation statements)

References 41 publications

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“…ALmarwani et al [22] proposed a novel tagging approach called Tagging of Outsourced Data (TOD) to secure the privacy of data stored in the cloud. By employing verification, their plan supported cloud data.…”

Section: Related Workmentioning

confidence: 99%

Cryptographic Solutions for Data Security in Cloud Computing:

Dawson,

Twum,

Acquah

et al. 2024

JCSANDM

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Due to the recent explosion in the amount of data being created by various social media platforms, e-commerce websites, and other businesses, a paradigm shift from on-site data centers to the cloud is required. Concerns about privacy and secrecy have been a major obstacle to the mainstream adoption of cloud computing. The best approach to protect the confidentiality and privacy of cloud data is by using cryptographic techniques. Researchers have developed several cryptographic algorithms, but they all have lengthy, linear, predictable, memory-intensive execution times. The performance of the CPU, memory, run-time trend, and throughput of the three cryptographic schemes: Enhanced RSA (ERSA), Non-Deterministic Cryptographic Scheme (NCS), and Enhanced Homomorphic Scheme (EHS) are compared using RAsys. The experiment’s results demonstrated that NCS and EHS produced non-linear and non-deterministic run times. Again, NCS and EHS produced the lowest throughput and memory consumption for text and numeric data types when data sizes of 5n*102(KB(∈1,2,4,10,20,40) were processed. However, ERSA produced a run-time trend that was deterministic, linear, and predictable

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Section: Related Workmentioning

confidence: 99%

Cryptographic Solutions for Data Security in Cloud Computing:

Dawson,

Twum,

Acquah

et al. 2024

JCSANDM

View full text Add to dashboard Cite

show abstract

“…ALmarwani et al [ 21 ] presented a unique tagging approach called Tagging of Outsourced Data (TOD) in an endeavor to protect the secrecy of data stored in the cloud. Their method supported cloud data through verification.…”

Section: 0 Literature Reviewmentioning

confidence: 99%

Ensuring privacy and confidentiality of cloud data: A comparative analysis of diverse cryptographic solutions based on run time trend

Dawson,

Frimpong,

Hayfron Acquah

et al. 2023

PLoS ONE

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The cloud is becoming a hub for sensitive data as technology develops, making it increasingly vulnerable, especially as more people get access. Data should be protected and secured since a larger number of individuals utilize the cloud for a variety of purposes. Confidentiality and privacy of data is attained through the use of cryptographic techniques. While each cryptographic method completes the same objective, they all employ different amounts of CPU, memory, throughput, encryption, and decryption times. It is necessary to contrast the various possibilities in order to choose the optimal cryptographic algorithm. An integrated data size of 5n*102 (KB (∈ 1,2,4,10,20,40) is evaluated in this article. Performance metrics including run time, memory use, and throughput time were used in the comparison. To determine the effectiveness of each cryptographic technique, the data sizes were run fifteen (15) times, and the mean simulation results were then reported. In terms of run time trend, NCS is superior to the other algorithms according to Friedman’s test and Bonferroni’s Post Hoc test.

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“…Based on the threat analysis in [ 37 ] and usecase study, we have specified a set of requirements for the design of an effective, secure, reliable and efficient DIA. The requirements can be classified into four groups, functional, security, reliability and performance requirements.…”

Section: Requirement Specificationmentioning

confidence: 99%

“…TOD has been described, analysed and evaluated in detail in [ 37 ]. As TOD is used as a building block in DIA-MTTP, we here provide a summary of the TOD method.…”

Section: Building Blocksmentioning

confidence: 99%

A novel approach to data integrity auditing in PCS: Minimising any Trust on Third Parties (DIA-MTTP)

2021

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Data Integrity Auditing (DIA) is a security service for verifying the integrity of outsourced data in Public Cloud Storage (PCS) by users or by Third-Party Auditors (TPAs) on behalf of the users. This paper proposes a novel DIA framework, called DIA-MTTP. The major novelty of the framework lies in that, while providing the DIA service in a PCS environment, it supports the use of third parties, but does not require full trust in the third parties. In achieving this property, a number of ideas also have been embedded in the design. These ideas include the use of multiple third parties and a hierarchical approach to their communication structure making the service more suited to resource-constrained user devices, the provision of two integrity assurance levels to balance the trade-off between security protection levels and the costs incurred, the application of a data deduplication measure to both new data and existing data updates to minimise the number of tags (re-)generated. In supporting the dynamic data and deduplication measure, a distributed data structure, called Multiple Mapping Tables (M2T), is proposed. Security analysis indicates that our framework is secure with the use of untrusted third parties. Performance evaluation indicates that our framework imposes less computational, communication and storage overheads than related works.

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An effective, secure and efficient tagging method for integrity protection of outsourced data in a public cloud storage

Cited by 7 publications

References 41 publications

Cryptographic Solutions for Data Security in Cloud Computing:

Cryptographic Solutions for Data Security in Cloud Computing:

Ensuring privacy and confidentiality of cloud data: A comparative analysis of diverse cryptographic solutions based on run time trend

A novel approach to data integrity auditing in PCS: Minimising any Trust on Third Parties (DIA-MTTP)

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