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Efficient way to ensure the data security in cloud computing Cover

Figures & Tables

Figure 1

Client module.

Figure 2

System architecture.

Figure 3

System architecture in DFD.

Figure 4

Use case diagram.

Figure 5

Cloud server login.

Figure 6

Client side Login.

Figure 7

Admin login.

Figure 8

Successful login.

Figure 9

(a–c) Data storage details.

Table 1

Validation and verification results of the proposed model of resilience to the failures and attacks.

Performance metricsByzantine failureMalicious data modification attackEven server colluding attacks
Attack level rate5.67.56.3
Security level rate91.589.690.8
Classification accuracy (%)95.79497.6
Attack detection rate0.910.8960.935
Table 2

Performance analysis.

Performance metricsAttack typesECC-BF (Chinnasamy et al., 2021)AE-SRA (Abdullayeva, 2021)ODN (Velliangiri et al., 2021)SDE with SPIaaS (Shaikh and Meshram, 2021)DS-EL (Su et al., 2021)DS with EDDS (Proposed)
Attack level rateByzantine failure2516.523.619235.6
Malicious data modification attack23.618.9526.721.5257.5
Even server colluding attacks19.615.825.718.721.86.3
Security level rateByzantine failure73.568.455.658.976.891.5
Malicious data modification attack78.675.459.355.768.0489.6
Even server colluding attacks71.6571.5463.653.973.890.8
Classification Accuracy (%)Byzantine failure Malicious data7385.660.8788395.7
modification attack75.781.570.276.58294
Even server colluding attacks65.478.773.568.57997.6
Language: English
Submitted on: Sep 14, 2021
Published on: Jun 29, 2022
Published by: International Journal on Smart Sensing and Intelligent Systems
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2022 Anil Kumar Pallikonda, Kavitha Chaduvula, Baburao Markapudi, Ch Rathna Jyothi, D N V S L S Indira, published by International Journal on Smart Sensing and Intelligent Systems
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.