Data Integrity Auditing Scheme for Preserving Security in Cloud based Big Data

Vineela, A.; Kasiviswanath, N.; Bindu, C. Shoba

doi:10.1109/iciccs53718.2022.9788365

Cited by 5 publications

(1 citation statement)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The risk of data integrity concerns when data is outsourced to cloud storage. Authors recommended utilizing auditors to assess data integrity methods [2] . According to the author of [3] to protect the data an approach underwhich application level may be used in NoSQL database.…”

Section: Literature Reviewmentioning

confidence: 99%

An Empirical Evaluation of Data Integrity Algorithm Performance in Non-Relational Document Databases

Jamali,

Najma Imtiaz Ali,

Imtiaz Ali Brohi

et al. 2023

VAWKUM trans. comput. sci.

View full text Add to dashboard Cite

Non-relational document databases are a type of NoSQL databases, are gaining popularity owing to their flexibility, scalability, and performance. Document databases provide some distinct security issues. One of the most difficult security challenges is that they are frequently built to be extremely accessible. This can make them more vulnerable to assault if suitable security measures are not taken. Users of database can access data with weak authentication or authorization. Another issue is that they store data in a semi-structured or unstructured format. This makes it difficult to create and execute security safeguards. It may be difficult to detect and secure sensitive data that is kept. Document databases are certain data integrity problems. In this research work, we have developed Big Document DBCrypto’s architecture under which Middle ware provides users to use symmetric cryptography with any hashing algorithm or asymmetric cryptography with digital signatures to ensure data integrity.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

An Empirical Evaluation of Data Integrity Algorithm Performance in Non-Relational Document Databases

Jamali,

Najma Imtiaz Ali,

Imtiaz Ali Brohi

et al. 2023

VAWKUM trans. comput. sci.

View full text Add to dashboard Cite

show abstract

Signature-Based Batch Auditing Verification in Cloud Resource Pool

Goswami,

Gogoi,

Debnath

et al. 2024

Communications in Computer and Information Science

View full text Add to dashboard Cite

Identity-based controlled delegated outsourcing data integrity auditing scheme

Du,

Dong,

Ning

et al. 2024

Sci Rep

View full text Add to dashboard Cite

With the continuous development of cloud computing, the application of cloud storage has become more and more popular. To ensure the integrity and availability of cloud data, scholars have proposed several cloud data auditing schemes. Still, most need help with outsourced data integrity, controlled outsourcing, and source file auditing. Therefore, we propose a controlled delegation outsourcing data integrity auditing scheme based on the identity-based encryption model. Our proposed scheme allows users to specify a dedicated agent to assist in uploading data to the cloud. These authorized proxies use recognizable identities for authentication and authorization, thus avoiding the need for cumbersome certificate management in a secure distributed computing system. While solving the above problems, our scheme adopts a bucket-based red–black tree structure to efficiently realize the dynamic updating of data, which can complete the updating of data and rebalancing of structural updates constantly and realize the high efficiency of data operations. We define the security model of the scheme in detail and prove the scheme's security under the difficult problem assumption. In the performance analysis section, the proposed scheme is analyzed experimentally in comparison with other schemes, and the results show that the proposed scheme is efficient and secure.

show abstract

Data Integrity Auditing Scheme for Preserving Security in Cloud based Big Data

Cited by 5 publications

References 18 publications

An Empirical Evaluation of Data Integrity Algorithm Performance in Non-Relational Document Databases

An Empirical Evaluation of Data Integrity Algorithm Performance in Non-Relational Document Databases

Signature-Based Batch Auditing Verification in Cloud Resource Pool

Identity-based controlled delegated outsourcing data integrity auditing scheme

Contact Info

Product

Resources

About