High Secured Data Access and Leakage Detection Using Attribute-Based Encryption

Selvan, Mercy Paul; Sowmith, Repala Sai; Dheeraj, Puralasetti; Jancy, S.

doi:10.1007/978-981-15-8752-8_44

Cited by 1 publication

(1 citation statement)

References 21 publications

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“…Activity monitoring helps identify abnormal or unauthorized activities that could lead to data breaches, while encryption ensures data remains indecipherable even if accessed. By implementing comprehensive DLP solutions, businesses can strengthen their security posture and instil confidence in the protection of their valuable and confidential information [68].…”

Section: Data Loss Prevention (Dlp)mentioning

confidence: 99%

Security challenges in cloud computing: A comprehensive analysis

Janet Julia Ang'udi

2023

World J. Adv. Eng. Technol. Sci.

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The security issues surrounding cloud computing, a quickly developing technology that is now essential to both personal and business computing, are thoroughly examined in this study. Cloud computing presents serious security risks that require careful attention, despite its many advantages such as scalability, cost-effectiveness, and flexibility. In-depth discussions of a number of important security topics are covered in this paper, including network security, access control, data breaches, legal and regulatory framework compliance, and new threats and vulnerabilities. The paper illuminates the complexities of data and application security in the cloud environment by thoroughly examining these subjects. The study also looks at actual case studies to show how security breaches in cloud computing affect things and how to fix them. The study intends to offer insightful analyses of security challenges with practical implications by examining these cases and providing lessons learned from incidents that have happened in various cloud computing scenarios. Our comprehension of the complex nature of security threats and the tactics used to counter and mitigate them is improved by looking closely at these cases. This study looks into the potential benefits of cloud security enhancements from emerging technologies like artificial intelligence and machine learning, in addition to identifying existing challenges. The research investigates the potential benefits of these technologies in terms of automated security responses, adaptive access controls, and proactive threat detection. Cloud environments may be able to improve their security posture against new and sophisticated threats by utilizing the powers of AI and machine learning. Furthermore, by projecting future trends and challenges in cloud security, this paper offers a forward-looking view of the changing field. Comprehending these possible obstacles is crucial to creating proactive and flexible security approaches that can successfully tackle the ever-changing landscape of cloud computing. This paper's ultimate objective is to offer insightful information about practical approaches and industry best practices for safeguarding cloud environments. Organizations can navigate the complexity of the cloud landscape while protecting their data and applications from the ever-evolving threat landscape by striking a balance between the enormous potential of cloud computing and the necessity of maintaining strong security measures.

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Section: Data Loss Prevention (Dlp)mentioning

confidence: 99%

Security challenges in cloud computing: A comprehensive analysis

Janet Julia Ang'udi

2023

World J. Adv. Eng. Technol. Sci.

View full text Add to dashboard Cite

show abstract

High Secured Data Access and Leakage Detection Using Attribute-Based Encryption

Cited by 1 publication

References 21 publications

Security challenges in cloud computing: A comprehensive analysis

Security challenges in cloud computing: A comprehensive analysis

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