Trust, Privacy and Security in Digital Business: 13th by Sokratis Katsikas, Costas Lambrinoudakis, Steven Furnell

By Sokratis Katsikas, Costas Lambrinoudakis, Steven Furnell

This e-book constitutes the refereed lawsuits of the thirteenth overseas convention on belief, privateness and safety in electronic enterprise, TrustBus 2016, held in Porto, Portugal, in September 2016 along side DEXA 2016. The eight revised complete papers provided have been rigorously reviewed and chosen from 18 submissions. The papers are equipped within the following topical sections: safety, privateness and belief in eServices; protection and privateness in cloud computing; privateness necessities; and data audit and trust.

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ACM (2009) 12. : Henshin: advanced concepts and tools for in-place EMF model transformations. , Haugen, Ø. ) MODELS 2010, Part I. LNCS, vol. 6394, pp. 121–135. Springer, Heidelberg (2010) 13. : Secure software architectures design by aspect orientation. In: ICECCS, pp. 47–55 (2005) 14. : Organizing security patterns. IEEE Softw. 24(4), 52–60 (2007) 15. : An aspect-oriented model transformation to weave security using CVL. In: MODELSWARD, pp. 138–147 (2014) 16. : Quality-driven Architecture Design and Quality Analysis Method: A Revolutionary Initiation Approach to a Product Line Architecture (2002) ´ Software evolution 17.

The understanding of this process as well as an extensive literature review on respective concepts and challenges for cloud forensics presented in our previous work [5–7] assisted on the design of the proposed modeling language. The rest of the paper is organized as follows: Sect. 2 presents the cloud forensic investigation process. In Sect. 3 the proposed meta-model is presented. In Sect. 4 a running example for addressing the concepts of the meta-model is presented. Finally, Sect. 5, concludes the paper by raising future research on this innovative research field.

The PaymentMethod in this case). 2 Verifying the Security Requirements To demonstrate that the security functionality has been applied in the correct way and places, the M2M transformations can be applied to a model where the security model has already been composed with the application model. For instance, when the join points were manually identified. The same instance of the variability model shown in Figs. 4 and 5 can now be used to verify that the security property was correctly added to all the matchings of the final application model (the base application model composed with the security model).

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