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Entropy 2017, 19(12), 649; https://doi.org/10.3390/e19120649

Entropy-Based Economic Denial of Sustainability Detection

Group of Analysis, Security and Systems (GASS), Department of Software Engineering and Artificial Intelligence (DISIA), Faculty of Computer Science and Engineering, Office 431, Universidad Complutense de Madrid (UCM), Calle Profesor José García Santesmases , 9, Ciudad Universitaria, 28040 Madrid, Spain
These authors contributed equally to this work.
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Received: 11 November 2017 / Revised: 23 November 2017 / Accepted: 27 November 2017 / Published: 29 November 2017
(This article belongs to the Special Issue Information Theory and 5G Technologies)
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Abstract

In recent years, an important increase in the amount and impact of Distributed Denial of Service (DDoS) threats has been reported by the different information security organizations. They typically target the depletion of the computational resources of the victims, hence drastically harming their operational capabilities. Inspired by these methods, Economic Denial of Sustainability (EDoS) attacks pose a similar motivation, but adapted to Cloud computing environments, where the denial is achieved by damaging the economy of both suppliers and customers. Therefore, the most common EDoS approach is making the offered services unsustainable by exploiting their auto-scaling algorithms. In order to contribute to their mitigation, this paper introduces a novel EDoS detection method based on the study of entropy variations related with metrics taken into account when deciding auto-scaling actuations. Through the prediction and definition of adaptive thresholds, unexpected behaviors capable of fraudulently demand new resource hiring are distinguished. With the purpose of demonstrate the effectiveness of the proposal, an experimental scenario adapted to the singularities of the EDoS threats and the assumptions driven by their original definition is described in depth. The preliminary results proved high accuracy. View Full-Text
Keywords: Cloud Computing; Denial of Service; Economic Denial of Sustainability; Entropy; Intrusion Detection; Information Security Cloud Computing; Denial of Service; Economic Denial of Sustainability; Entropy; Intrusion Detection; Information Security
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Monge, M.A.S.; Vidal, J.M.; Villalba, L.J.G. Entropy-Based Economic Denial of Sustainability Detection. Entropy 2017, 19, 649.

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