Securing Combined Fog-to-Cloud Systems: Challenges and Directions

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Conference object , Article 13 Oct 2019 Spain English Publisher:Springer International PublishingFunded by:EC | mF2C

Authors: Kahvazadeh, Sarang; Masip Bruin, Xavier; Marín Tordera, Eva; Gómez Cárdenas, Alejandro;

doi: 10.1007/978-3-030-32520-6_63

handle: 2117/331607

Securing Combined Fog-to-Cloud Systems: Challenges and Directions

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Abstract

Nowadays, fog computing is emerged for providing computational power closer to the users. Fog computing brings real-time processing, lowlatency, geo-distributed and etc. Although, fog computing do not come to compete cloud computing, it comes to collaborate. Recently, Fog-To-Cloud (F2C) continuum system is introduced to provide hierarchical computing system and facilitates fog-cloud collaboration. This F2C continuum system might encounter security issues and challenges due to their hierarchical and distributed nature. In this paper, we analyze attacks in different layer of F2C system and identify most potential security requirements and challenges for the F2C continuum system. Finally, we introduce the most remarkable efforts and trends for bringing secure F2C system.

This work is supported by the H2020 projects mF2C (730929). It is also supported by the Spanish Ministry of Economy and Competitiveness and the European Regional Development Fund both under contract RTI2018-094532-B-100.

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Spain

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Keywords

Computació en núvol, Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors, Security, Cloud computing, Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors::Internet, Fog-to-cloud computing, :Informàtica::Arquitectura de computadors [Àrees temàtiques de la UPC], :Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors::Internet [Àrees temàtiques de la UPC]

6 Research products, page 1 of 1

A Multidimensional Control Architecture for Combined Fog-to-Cloud Systems
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SFDDM: A Secure Distributed Database Management in Combined Fog-to-Cloud Systems
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An Architectural Schema for Performance Prediction using Machine Learning in the Fog-to-Cloud Paradigm
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