Cloud Safe: A Survey of Encryption, Access Control, and Network Protection Strategies

The rising dependence on cloud computing needs strong security measures to secure sensitive data and maintain service availability. Data breaches, illegal access, and data loss pose significant hazards to cloud security. Effective security techniques encompass numerous levels of protection. Firstly, encryption is critical for safeguarding data at rest and in transit, confirming that the information remains unreadable to unauthorized users even if intercepted. Secondly, network security methods, such as firewalls, intrusion detection and prevention systems, and secure communication protocols, are needed to defend against external threats and vulnerabilities. Lastly, access control technologies, including multi-factor authentication, role-based access control, and identity management systems, are vital for restricting who can access and modify data in the cloud. This multi-layered approach ensures comprehensive protection against a wide range of security risks. In conclusion, while cloud computing provides considerable scalability, flexibility, and cost-effectiveness benefits, it also poses new security issues. Organizations may ensure a safe cloud computing environment by establishing comprehensive security measures such as encryption, network security, and effective access restrictions for their data and systems. According to the research, compromised credentials cause 61% of data breaches, highlighting the significance of access control procedures. Additionally, there is potential for upgrading encryption systems, dynamic authorization, and anomaly detection through machine learning and deep learning approaches. This research further supports a multi-layered security approach to safeguard private cloud data from new attacks.

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Institutions

Publication Details

Journal
International Journal of Electrical and Electronics Engineering
Published
2024-12-31
DOI
https://doi.org/10.14445/23488379/ijeee-v11i12p119
Citations
2
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.70
Controls
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article

Cloud Safe: A Survey of Encryption, Access Control, and Network Protection Strategies

D R Ganesh, A G Vishvanath
2 citations
International Journal of Electrical and Electronics Engineering
Network Security and Intrusion Detection
0.70
article

Cloud Safe: A Survey of Encryption, Access Control, and Network Protection Strategies

D R Ganesh, A G Vishvanath
article en
2 citations

Abstract

The rising dependence on cloud computing needs strong security measures to secure sensitive data and maintain service availability. Data breaches, illegal access, and data loss pose significant hazards to cloud security. Effective security techniques encompass numerous levels of protection. Firstly, encryption is critical for safeguarding data at rest and in transit, confirming that the information remains unreadable to unauthorized users even if intercepted. Secondly, network security methods, such as firewalls, intrusion detection and prevention systems, and secure communication protocols, are needed to defend against external threats and vulnerabilities. Lastly, access control technologies, including multi-factor authentication, role-based access control, and identity management systems, are vital for restricting who can access and modify data in the cloud. This multi-layered approach ensures comprehensive protection against a wide range of security risks. In conclusion, while cloud computing provides considerable scalability, flexibility, and cost-effectiveness benefits, it also poses new security issues. Organizations may ensure a safe cloud computing environment by establishing comprehensive security measures such as encryption, network security, and effective access restrictions for their data and systems. According to the research, compromised credentials cause 61% of data breaches, highlighting the significance of access control procedures. Additionally, there is potential for upgrading encryption systems, dynamic authorization, and anomaly detection through machine learning and deep learning approaches. This research further supports a multi-layered security approach to safeguard private cloud data from new attacks.

International Journal of Electrical and Electronics EngineeringVol. 11(12)
Jain University (IN)
Openalex Percentile: Top 25%
Network Security and Intrusion Detection
0.70
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