A Descriptive Analysis of Security Threats and Attacks in Public Cloud Computing: Safeguarding Data from Cyber Attacks.

dc.contributor.authorOrucho, Daniel Okari
dc.contributor.authorKatila, Charles
dc.contributor.authorMandela, Ngaira
dc.date.accessioned2026-02-20T08:46:34Z
dc.date.available2026-02-20T08:46:34Z
dc.date.issued2025-08
dc.descriptionA research article published in the International Journal of Computer Science and Information Security (IJCSIS),en_US
dc.description.abstractCloud computing has revolutionized how organizations and individuals store, access, and interact with data, software, and computing resources. Public cloud platforms offer scalable, cost-efficient, and globally accessible services, often characterized by managed infrastructure and multi-tenancy. However, this technological advancement faces escalating cyber threats and sophisticated attack vectors such as Denial-of-Service (DoS), Man-in-the-Middle (MITM) attacks, data breaches, and insecure APIs. These threats compromise data integrity, availability, and confidentiality. This study employs a descriptive research methodology, supplemented by desktop analysis, to examine the evolving landscape of security threats in public cloud computing. It further evaluates mitigation strategies including encryption, access control, secure API management, and continuous monitoring, while highlighting persistent research gaps that demand attention for robust cloud security frameworks.en_US
dc.identifier.citationOrucho, D. O., Katila, C., & Mandela, N. (2025). A Descriptive Analysis of Security Threats and Attacks in Public Cloud Computing: Safeguarding Data from Cyber Attacks. environment, 6(8), 9.en_US
dc.identifier.issn1947-5500
dc.identifier.urihttps://repository.cuk.ac.ke/handle/123456789/1893
dc.language.isoenen_US
dc.publisherInternational Journal of Computer Science and Information Securityen_US
dc.relation.ispartofseriesVol. 23;No. 4 (2025)
dc.titleA Descriptive Analysis of Security Threats and Attacks in Public Cloud Computing: Safeguarding Data from Cyber Attacks.en_US
dc.typeArticleen_US

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