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Authors: Srijita Basu 1 ; Anirban Sengupta 1 and Chandan Mazumdar 2

Affiliations: 1 Centre for Distributed Computing, India ; 2 Jadavpur University, India

Keyword(s): Asset Dependency, Cloud Security, Cloud Service Provider, Risk Assessment, Security Concern.

Abstract: Assets of Cloud stakeholders (Service Providers, Consumers and Third Parties) are the essential elements required to carry out necessary functions / services of the cloud system. Assets usually contain vulnerabilities that may be exploited by threats to jeopardize the functioning of the cloud system. Therefore a proper risk assessment methodology is required to determine the asset-specific and stakeholder-specific risks so as to be able to control them. Existing methodologies fail to comprehensively evaluate various risk elements like asset value, vulnerabilities and threats. This paper is an attempt to quantitatively model all risk elements and devise a methodology to assess risks to assets and stakeholders of a cloud system.

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Paper citation in several formats:
Basu, S.; Sengupta, A. and Mazumdar, C. (2017). A Quantitative Methodology for Cloud Security Risk Assessment. In Proceedings of the 7th International Conference on Cloud Computing and Services Science - CLOSER; ISBN 978-989-758-243-1; ISSN 2184-5042, SciTePress, pages 120-131. DOI: 10.5220/0006294401200131

@conference{closer17,
author={Srijita Basu. and Anirban Sengupta. and Chandan Mazumdar.},
title={A Quantitative Methodology for Cloud Security Risk Assessment},
booktitle={Proceedings of the 7th International Conference on Cloud Computing and Services Science - CLOSER},
year={2017},
pages={120-131},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006294401200131},
isbn={978-989-758-243-1},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Cloud Computing and Services Science - CLOSER
TI - A Quantitative Methodology for Cloud Security Risk Assessment
SN - 978-989-758-243-1
IS - 2184-5042
AU - Basu, S.
AU - Sengupta, A.
AU - Mazumdar, C.
PY - 2017
SP - 120
EP - 131
DO - 10.5220/0006294401200131
PB - SciTePress

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