@article {RomanFog16, title = {Mobile edge computing, Fog et al.: A survey and analysis of security threats and challenges}, journal = {Future Generation Computer Systems}, volume = {78}, year = {2018}, month = {01/2018}, pages = {680-698}, publisher = {Elsevier}, abstract = {

For various reasons, the cloud computing paradigm is unable to meet certain requirements (e.g. low latency and jitter, context awareness, mobility support) that are crucial for several applications (e.g. vehicular networks, augmented reality). To fulfil these requirements, various paradigms, such as fog computing, mobile edge computing, and mobile cloud computing, have emerged in recent years. While these edge paradigms share several features, most of the existing research is compartmentalised; no synergies have been explored. This is especially true in the field of security, where most analyses focus only on one edge paradigm, while ignoring the others. The main goal of this study is to holistically analyse the security threats, challenges, and mechanisms inherent in all edge paradigms, while highlighting potential synergies and venues of collaboration. In our results, we will show that all edge paradigms should consider the advances in other paradigms.

}, keywords = {Cloud Computing, Fog computing, Mobile cloud computing, Mobile edge computing, privacy, security}, issn = {0167-739X}, doi = {10.1016/j.future.2016.11.009}, url = {https://authors.elsevier.com/c/1VmhQ,3q5xKgZZ}, author = {Rodrigo Roman and Javier Lopez and Masahiro Mambo} } @incollection {1512, title = {Metrics for Accountability in the Cloud}, booktitle = {Accountability and Security in the Cloud}, volume = {8937}, number = {LNCS Tutorial}, year = {2015}, pages = {129-153}, author = {Carmen Fernandez-Gago and David Nu{\~n}ez} } @inproceedings {nunez2013metamodel, title = {A Metamodel for Measuring Accountability Attributes in the Cloud}, booktitle = {2013 IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2013)}, year = {2013}, month = {12/2013}, pages = {355-362}, publisher = {IEEE}, organization = {IEEE}, address = {Bristol, UK}, 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.

}, isbn = {978-0-7685-5095-4}, doi = {10.1109/CloudCom.2013.53}, author = {David Nu{\~n}ez and Carmen Fernandez-Gago and Siani Pearson and Massimo Felici} } @inproceedings {1643, title = {Managing Incidents in Smart Grids {\`a} la Cloud}, booktitle = {IEEE CloudCom 2011}, year = {2011}, month = {Nov-Dec 2011}, pages = {527-531}, publisher = {IEEE Computer Society}, organization = {IEEE Computer Society}, address = {Athens, Greece}, abstract = {

During the last decade, the Cloud Computing paradigm has emerged as a panacea for many problems in traditional IT infrastructures. Much has been said about the potential of Cloud Computing in the Smart Grid context, but unfortunately it is still relegated to a second layer when it comes to critical systems. Although the advantages of outsourcing those kind of applications to the cloud is clear, data confidentiality and operational privacy stand as mayor drawbacks. In this paper, we try to give some hints on which security mechanisms and more specific, which cryptographic schemes, will help a better integration of Smart Grids and Clouds. We propose the use of Virtual SCADA in the Cloud (VS-Cloud) as a mean to improve reliability and efficiency whilst maintaining the same protection level as in traditional SCADA architectures.

}, keywords = {Cloud Computing, Cryptography, Incident Management, SCADA Systems, Searchable Encryption, Smart Grid}, isbn = {978-0-7695-4622-3}, doi = {10.1109/CloudCom.2011.79}, author = {Cristina Alcaraz and Isaac Agudo and David Nu{\~n}ez and Javier Lopez} }