Efficient way to ensure the data security in cloud computing

被引：0

作者：

Pallikonda, Anil Kumar ^{[1
]}

Chaduvula, Kavitha ^{[2
]}

Markapudi, Baburao ^{[3
]}

Jyothi, Ch Rathna ^{[4
]}

Indira, D. N. V. S. L. S. ^{[2
]}

机构：

[1] PVP Siddhartha Inst Technol, Dept Comp Sci & Engn, Vijayawada, Andhra Pradesh, India

[2] SR Gudlavalleru Engn Coll, Dept Informat Technol, Gudlavalleru, Andhra Pradesh, India

[3] SR Gudlavalleru Engn Coll, Dept Comp Sci & Engn, Gudlavalleru, Andhra Pradesh, India

[4] Andhra Loyola Inst Engn & Technol, Dept Comp Sci & Engn, Vijayawada, Andhra Pradesh, India

来源：

INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS | 2022年 / 15卷 / 01期

关键词：

Localization; Data; Security; Cloud computing;

D O I：

10.2478/ijssis-2022-0007

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This manuscript proposes a cloud data storage security, which has always been an important aspect of Quality of Service (QOS). Here, an effectual and flexible distributed scheme (DS) with Explicit Dynamic Data Support (EDDS) is proposed to ensure the accuracy of user data in the cloud. By using hemimorphic token with distributed verification of erasure-coded data, the proposed scheme achieves the integration of storage correctness insurance and data error localization. The proposed scheme supports secure and efficient dynamic operations on data blocks, such as data update, delete and append. The performance analysis shows that the proposed scheme is highly efficient.

引用

页码：1 / 12

页数：12

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