Cloud Computing is a flexible, cost-effective, and proven delivery platform for providing business or consumer IT services over the Internet. However, cloud Computing presents an added level of risk because essential services are often outsourced to a third party, which makes it harder to maintain data security and privacy, support data and service availability, and demonstrate compliance. Cloud Computing leverages many technologies (SOA, virtualization, Web 2.0); it also inherits their security issues, which we discuss here, identifying the main vulnerabilities in this kind of systems and the most important threats found in the literature related to Cloud Computing and its environment as well as to identify and relate vulnerabilities and threats with possible solutions.

/pdf/an-analysis-of-security-issues-for-cloud-computing-1apnvpc3ez.pdf

An analysis of security issues for cloud computing

Cloud computing is a new computational paradigm that offers an innovative business model for organizations to adopt IT without upfront investment. Despite the potential gains achieved from the cloud computing, the model security is still questionable which impacts the cloud model adoption. The security problem becomes more complicated under the cloud model as new dimensions have entered into the problem scope related to the model architecture, multi-tenancy, elasticity, and layers dependency stack. In this paper we introduce a detailed analysis of the cloud security problem. We investigated the problem from the cloud architecture perspective, the cloud offered characteristics perspective, the cloud stakeholders' perspective, and the cloud service delivery models perspective. Based on this analysis we derive a detailed specification of the cloud security problem and key features that should be covered by any proposed security solution.

An Analysis of the Cloud Computing Security Problem

On cloud security requirements, threats, vulnerabilities and countermeasures: A survey

A survey of security issues for cloud computing

Cloud computing is a new computational paradigm that offers an innovative business model for organizations to adopt IT without upfront investment. Despite the potential gains achieved from the cloud computing, the model security is still questionable which impacts the cloud model adoption. The security problem becomes more complicated under the cloud model as new dimensions have entered into the problem scope related to the model architecture, multi-tenancy, elasticity, and layers dependency stack. In this paper we introduce a detailed analysis of the cloud security problem. We investigated the problem from the cloud architecture perspective, the cloud offered characteristics perspective, the cloud stakeholders’ perspective, and the cloud service delivery models perspective. Based on this analysis we derive a detailed specification of the cloud security problem and key features that should be covered by any proposed security solution.

/pdf/an-analysis-of-the-cloud-computing-security-problem-22hygof7d0.pdf

An analysis of the cloud computing security problem

There are many commercial software security assurance tools that claim to detect and prevent vulnerabilities in application software. However, a closer look at the tools often leaves one wondering which tools find what vulnerabilities. This paper identifies a taxonomy of software security assurance tools and defines one type of tool: Web application scanner, i.e., an automated program that examines Web applications for security vulnerabilities. We describe the types of functions that are generally found in a Web application scanner and how to test it

/pdf/web-application-scanners-definitions-and-functions-1npxregzgz.pdf

Web Application Scanners: Definitions and Functions

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Web Application Scanners: Definitions and Functions