Towards Data Confidentiality and a Vulnerability Analysis Framework for Cloud Computing

Oktay, Kerim Yasin; Gomathisankaran, Mahadevan; Kantarcıoğlu, Murat; Mehrotra, Sharad; Singhal, Anoop

doi:10.1007/978-1-4614-9278-8_10

Cited by 6 publications

(1 citation statement)

References 14 publications

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“…The workload partitioning problem has been used for risk based data processing over hybrid cloud architecture [16].The better understanding of structural components of an organization, economic and mathematical modeling helps in taking better decisions regarding risk [17].The cloud security risks taxonomy has been divided into compliance risks, architecture based risks and privacy risks as given in Fig. 1, 2, 3 [18].…”

Section: Risk Management Strategies In Cloud Computingmentioning

confidence: 99%

Assessing Risks and Cloud Readiness in PaaS Environments

2019

IJRTE

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The cloud computing has utilization of pervasive or distributed models on demand access to highly configurable computing devices for fast provision and less management efforts. The complex architecture, multitenant and virtual environment in cloud infrastructure asks for risks identification and mitigation. The cloud computing model business needs reassurances so it’s prime consideration for testing the cloud services. This research primarily identifies various risks, threats, testing models and vulnerabilities in cloud computing environment. This research has implemented the risk assessment and cloud readiness for PaaS environment by scanning its code with a software vendor. The research makes an emphasis on risk minimization strategies and trust evaluation in cloud computing environment.

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Section: Risk Management Strategies In Cloud Computingmentioning

confidence: 99%