DocumentCode :
3435224
Title :
A Metamodel for Measuring Accountability Attributes in the Cloud
Author :
Nunez, David ; Fernandez-Gago, Carmen ; Pearson, Siani ; Felici, M.
Author_Institution :
Network, Inf. & Comput. Security Lab., Univ. de Malaga, Malaga, Spain
Volume :
1
fYear :
2013
fDate :
2-5 Dec. 2013
Firstpage :
355
Lastpage :
362
Abstract :
Cloud governance, and in particular data governance in the cloud, relies on different technical and organizational practices and procedures, such as policy enforcement, risk management, incident management and remediation. The concept of accountability encompasses such practices, and is essential for enhancing security and trustworthiness in the cloud. Besides this, proper measurement of cloud services, both at a technical and governance level, is a distinctive aspect of the cloud computing model. Hence, a natural problem that arises is how to measure the impact on accountability of the procedures held in practice by organizations that participate in the cloud ecosystem. In this paper, we describe a metamodel for addressing the problem of measuring accountability properties for cloud computing, as discussed and defined by the Cloud Accountability Project (A4Cloud). The goal of this metamodel is to act as a language for describing: (i) accountability properties in terms of actions between entities, and (ii) metrics for measuring the fulfillment of such properties. It also allows the recursive decomposition of properties and metrics, from a high-level and abstract world to a tangible and measurable one. Finally, we illustrate our proposal of the metamodel by modelling the transparency property, and define some metrics for it.
Keywords :
cloud computing; security of data; A4Cloud; accountability attribute measurement; cloud accountability project; cloud computing model; cloud ecosystem; cloud governance; cloud services; data governance; incident management; metamodel; policy enforcement; recursive decomposition; risk management; Atmospheric measurements; Cloud computing; Computational modeling; Context; Organizations; Particle measurements; Accountability; Cloud computing; Metamodel; Metrics; Non-functional properties;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing Technology and Science (CloudCom), 2013 IEEE 5th International Conference on
Conference_Location :
Bristol
Type :
conf
DOI :
10.1109/CloudCom.2013.53
Filename :
6753818
Link To Document :
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