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Key Completion Indicators - Minimizing the Effect of DoS Attacks on Elastic Cloud-based Applications Based on Application-level Markov Chain Checkpoints

Topics: Cloud Economics; Cloud Risk, Challenges, and Governance; Monitoring of Services, Quality of Service, Service Level Agreements; Security, Privacy, and Compliance Management; Service Monitoring and Control; Services Security and Reliability

Author: George Kousiouris

Affiliation: National Technical University of Athens, Greece

ISBN: 978-989-758-019-2

Keyword(s): Cloud Computing, elasticity, DoS,eDoS, Markov Chains, DoS Identification as a Service

Related Ontology Subjects/Areas/Topics: Cloud Computing ; Cloud Computing Enabling Technology ; Cloud Economics ; Cloud Risk, Challenges, and Governance ; Fundamentals ; Monitoring of Services, Quality of Service, Service Level Agreements ; Platforms and Applications ; Security, Privacy, and Compliance Management ; Service Monitoring and Control ; Services Science ; Services Security and Reliability

Abstract: The problem of DoS attacks has significant effects for any computing system available through the public domain. In the case of Clouds, it becomes even more critical since elasticity policies tied with metrics like Key Performance Indicators (KPIs) can lead a Cloud adopter to significant monetary losses. DoS attacks increase the KPIs, which in turn trigger the elastic increase of resources but without financial benefit for the owner of the cloud-enabled application (Economic Denial of Sustainability). Given the numerous scenarios of DoS attacks and the nature of services computing (in many cases involving legitimate automated traffic requests and bursts), networking mitigation approaches may not be sufficient. In this paper, the concept of Key Completion Indicators (KCIs) is provided and an analysis framework based on a probabilistic approach is proposed that can be applied on the application layer in cloud-deployed applications and elasticity policies, in order to avoid the aforement ioned situation. KCIs indicate the level of completeness and provided revenue of the requests made towards a publicly available service and together with the KPIs can lead to a safer result with regard to elasticity. An initial architecture of this DoS Identification as a Service is portrayed. (More)

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Paper citation in several formats:
Kousiouris G. (2014). Key Completion Indicators - Minimizing the Effect of DoS Attacks on Elastic Cloud-based Applications Based on Application-level Markov Chain Checkpoints.In Proceedings of the 4th International Conference on Cloud Computing and Services ScienceISBN 978-989-758-019-2, pages 622-628. DOI: 10.5220/0004963006220628

@conference{closer14,
author={George Kousiouris},
title={Key Completion Indicators - Minimizing the Effect of DoS Attacks on Elastic Cloud-based Applications Based on Application-level Markov Chain Checkpoints},
booktitle={Proceedings of the 4th International Conference on Cloud Computing and Services Science},
year={2014},
pages={622-628},
doi={10.5220/0004963006220628},
isbn={978-989-758-019-2},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Cloud Computing and Services Science
TI - Key Completion Indicators - Minimizing the Effect of DoS Attacks on Elastic Cloud-based Applications Based on Application-level Markov Chain Checkpoints
SN - 978-989-758-019-2
AU - Kousiouris G.
PY - 2014
SP - 622
EP - 628
DO - 10.5220/0004963006220628

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