Data Security and Data Protection in Cloud Privacy Systems

In this modern world, the internet has become very influential in our daily lives. The Internet has many uses to solve various problems, one of which is full hardware storage, therefore the Internet provides software-based data, for example, cloud storage applications. The study aims to analyze and evaluate various data security techniques and protection methods used in the cloud computing framework, focusing on vulnerability identification, risk mitigation strategy assessment, and user security awareness improvement. In addition, this study aims to analyze data security techniques and data protection approaches applied to cloud systems. In addition, the study also assesses potential risks and mitigates security threats such as cyberattacks and data breaches. Using qualitative methodologies, the study investigated relevant literature, examined real-life cases of data breaches, and analyzed the effectiveness of security measures such as encryption and multi-factor authentication. The findings show that cloud systems remain vulnerable to cyber threats like DDoS attacks, credential theft, and data breaches due to inadequate security protocols. Key recommendations include adopting encryption, improved multi-factor authentication practices, and encouraging collaboration between cloud service providers and users to strengthen data security. The research contributes by proposing a comprehensive approach to improving data protection in cloud environments, ensuring a secure and resilient infrastructure for users. Implementing these findings will support the development of more secure cloud technologies and increase user confidence in data security practices. It is hoped that the study's results can provide recommendations to improve data security and data protection in cloud systems.

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Publication Details

Journal
Jurnal Syntax Admiration
Published
2024-11-20
DOI
https://doi.org/10.46799/jsa.v5i11.1768
Citations
2
Primary Topic
Cloud Data Security Solutions
Type
article
Field-Weighted Citation Impact
1.56
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article

Data Security and Data Protection in Cloud Privacy Systems

Harson Kapoh, Putri Aprilyana, Yeremia Sumampow, Marsya Mailake et al.
2 citations
Jurnal Syntax Admiration
Cloud Data Security Solutions
1.56
article

Data Security and Data Protection in Cloud Privacy Systems

Harson Kapoh, Putri Aprilyana, Yeremia Sumampow, Marsya Mailake, Farel Manimpurung, Hafizhan Pakaya
article en
2 citations

Abstract

In this modern world, the internet has become very influential in our daily lives. The Internet has many uses to solve various problems, one of which is full hardware storage, therefore the Internet provides software-based data, for example, cloud storage applications. The study aims to analyze and evaluate various data security techniques and protection methods used in the cloud computing framework, focusing on vulnerability identification, risk mitigation strategy assessment, and user security awareness improvement. In addition, this study aims to analyze data security techniques and data protection approaches applied to cloud systems. In addition, the study also assesses potential risks and mitigates security threats such as cyberattacks and data breaches. Using qualitative methodologies, the study investigated relevant literature, examined real-life cases of data breaches, and analyzed the effectiveness of security measures such as encryption and multi-factor authentication. The findings show that cloud systems remain vulnerable to cyber threats like DDoS attacks, credential theft, and data breaches due to inadequate security protocols. Key recommendations include adopting encryption, improved multi-factor authentication practices, and encouraging collaboration between cloud service providers and users to strengthen data security. The research contributes by proposing a comprehensive approach to improving data protection in cloud environments, ensuring a secure and resilient infrastructure for users. Implementing these findings will support the development of more secure cloud technologies and increase user confidence in data security practices. It is hoped that the study's results can provide recommendations to improve data security and data protection in cloud systems.

Jurnal Syntax AdmirationVol. 5(11)
Manado State University (ID)
Industry, innovation and infrastructure
Openalex Percentile: Top 12%
Cloud Data Security Solutions
1.56
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Data Security and Data Protection in Cloud Privacy Systems — Harson Kapoh, Putri Aprilyana, et al. · Jurnal Syntax Admiration (2024) | TGRS Research Map | TGRS