Hybrid security analysis based on intelligent adaptive learning in Big Data

Sasubilli, Satya Murthy; Dubey, Ashutosh Kumar; Kumar, Abhishek

doi:10.1109/icacce49060.2020.9155049

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Cited by 6 publications

(2 citation statements)

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“…In recent years, the frequency and sophistication of cyber threats have reached unprecedented levels, necessitating a thorough understanding of the intricacies surrounding data security [9][10][11]. The landscape is characterized by a constant arms race between security measures and evolving attack vectors, demanding a dynamic and adaptive approach to protect sensitive information [12][13][14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

A comprehensive exploration of data security challenges, advantages, and future prospects

2023

TIS

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Section: Introductionmentioning

confidence: 99%

A comprehensive exploration of data security challenges, advantages, and future prospects

2023

TIS

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“…It is possible on the commercial data center. It is also called public clouds [9]. The famous providers for the same are Amazon Web Services (AWS), Salesforce's CRM system, and Microsoft Azure.…”

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confidence: 99%

An analytical review and analysis for the data control and security in cloud computing

Samvatsar¹,

Kanungo²

2020

IJATEE

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In this paper an analytical review and analysis for the data control and security in cloud computing was presented and analysed. This review and analysis covers three aspects. First is the study of the wide acceptability of cloud computing and its areas of applicability. Second is the security aspect in terms of data handling and data sharing. Third aspect is the interdisciplinary areas like Internet of Things (IoT) and big data in terms of collaboration with cloud computing environment. These components were discussed and analysed with the parametric evaluation along with the analytical variations. This paper presented an analytical view with the exploration of authenticity and data integrity. It also shows the result analysis with the performance measures. It also highlights the gaps along with the solution methodology with insightful discussion. This paper also highlights the problem statements with the suggested solutions and the future work in the same direction.

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Security and Privacy Preserving in Big Data

Tota¹,

Karmore²

2022

2022 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC)

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Hybrid security analysis based on intelligent adaptive learning in Big Data

Cited by 6 publications

References 34 publications

A comprehensive exploration of data security challenges, advantages, and future prospects

A comprehensive exploration of data security challenges, advantages, and future prospects

An analytical review and analysis for the data control and security in cloud computing

Security and Privacy Preserving in Big Data

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