Cloud Computing is a large-set of resources and services offered through the Internet according to a on-demand self service model. In particular, the cloud elasticity allows customers to scale-up their applications in order to provide services to a larger number of end-users. The provided services are charged based on a pay-per-use business model. According to such a model, Distributed Denial of Service attacks can be transformed in a new breed of attacks, which target the cloud flexibility, in order to inflict fraudulent resource consumptions. In this paper, we proposed an approach to mitigate such new kind of threats in Cloud Computing, which have direct effects on the customer costs and not only on the service performance perceived by end-users.

Economic Denial of Sustainability Mitigation in Cloud Computing / Ficco, Massimo; Rak, Massimiliano. - 13:(2016), pp. 229-238. [10.1007/978-3-319-22921-8_18]

Economic Denial of Sustainability Mitigation in Cloud Computing

FICCO, Massimo;RAK, Massimiliano
2016

Abstract

Cloud Computing is a large-set of resources and services offered through the Internet according to a on-demand self service model. In particular, the cloud elasticity allows customers to scale-up their applications in order to provide services to a larger number of end-users. The provided services are charged based on a pay-per-use business model. According to such a model, Distributed Denial of Service attacks can be transformed in a new breed of attacks, which target the cloud flexibility, in order to inflict fraudulent resource consumptions. In this paper, we proposed an approach to mitigate such new kind of threats in Cloud Computing, which have direct effects on the customer costs and not only on the service performance perceived by end-users.
2016
978-3-319-22920-1
Economic Denial of Sustainability Mitigation in Cloud Computing / Ficco, Massimo; Rak, Massimiliano. - 13:(2016), pp. 229-238. [10.1007/978-3-319-22921-8_18]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/986054
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