@article {nunez2016eliciting, title = {Eliciting Metrics for Accountability of Cloud Systems}, journal = {Computers \& Security}, volume = {62}, year = {2016}, month = {08/2016}, pages = {149-164}, publisher = {Elsevier}, abstract = {

Cloud computing provides enormous business opportunities, but at the same time is a complex and challenging paradigm. The major concerns for users adopting the cloud are the loss of control over their data and the lack of transparency. Providing accountability to cloud systems could foster trust in the cloud and contribute toward its adoption. Assessing how accountable a cloud provider is becomes then a key issue, not only for demonstrating accountability, but to build it. To this end, we need techniques to measure the factors that influence on accountability. In this paper, we provide a methodology to elicit metrics for accountability in the cloud, which consists of three different stages. Since the nature of accountability at- tributes is very abstract and complex, in the first stage we perform a conceptual analysis of the accountability attributes in order to decompose them into concrete practices and mechanisms. Then, we analyze relevant control frameworks designed to guide the implementation of security and privacy mechanisms, and use them to identify measurable factors, related to the practices and mechanisms defined earlier. Lastly, specific metrics for these factors are derived. We also provide some strategies that we consider relevant for the empirical validation of the elicited accountability metrics.\ 

}, issn = {0167-4048}, doi = {10.1016/j.cose.2016.07.003}, author = {David Nu{\~n}ez and Carmen Fernandez-Gago and Jes{\'u}s Luna} } @inproceedings {moyano15SAC, title = {Engineering Trust- and Reputation-based Security Controls for Future Internet Systems}, booktitle = {The 30th ACM/SIGAPP Symposium On Applied Computing (SAC 2015)}, year = {2015}, month = {08/2015}, pages = {1344-1349}, address = {Salamanca, Spain}, isbn = {978-1-4503-3196-8}, doi = {10.1145/2695664.2695713}, author = {Francisco Moyano and Carmen Fernandez-Gago and Kristian Beckers and Maritta Heisel} } @incollection {moyano14esfi, title = {Engineering Trust-Awareness and Self-adaptability in Services and Systems}, booktitle = {Engineering Secure Future Internet Services and Systems}, volume = {LNCS 8431}, number = {8431}, year = {2014}, month = {03/2014}, pages = {180-209}, publisher = {Springer}, organization = {Springer}, chapter = {8}, abstract = {
The Future Internet (FI) comprises scenarios where many heterogeneous and dynamic entities must interact to provide services (e.g., sensors, mobile devices and information systems in smart city scenarios). The dynamic conditions under which FI applications must execute call for self-adaptive software to cope with unforeseeable changes in the application environment. Models@run.time is a promising model-driven approach that supports the runtime adaptation of distributed, heterogeneous systems. Yet frameworks that accommodate this paradigm have limited support to address security concerns, hindering their usage in real scenarios. We address this challenge by enhancing models@run.time with the concepts of trust and reputation. Trust improves decision-making processes under risk and uncertainty and constitutes a distributed and flexible mechanism that does not entail heavyweight administration. This chapter introduces a trust and reputation framework that is integrated into a distributed component model that implements the models@run.time paradigm, thus allowing software components to include trust in their reasoning process. The framework is illustrated in a smart grid scenario.
}, isbn = {978-3-319-07451-1}, issn = {0302-9743}, doi = {10.1007/978-3-319-07452-8_8}, author = {Francisco Moyano and Carmen Fernandez-Gago and Benoit Baudry and Javier Lopez} } @inproceedings {moyano14smartgridsec, title = {Enhancing Problem Frames with Trust and Reputation for Analyzing Smart Grid Security Requirements}, booktitle = {Smart Grid Security - Second International Workshop}, series = {LNCS}, volume = {8448}, year = {2014}, month = {Aug}, pages = {166-180}, publisher = {Springer}, organization = {Springer}, address = {Munich}, keywords = {model-driven engineering, problem frames, Reputation, security requirements engineering, Trust, UML4PF}, isbn = {978-3-319-10328-0}, issn = {0302-9743}, doi = {10.1007/978-3-319-10329-7_11}, author = {Francisco Moyano and Carmen Fernandez-Gago and Kristian Beckers and Maritta Heisel}, editor = {Jorge Cuellar} } @article {Alcaraz2011, title = {An Early Warning System based on Reputation for Energy Control Systems}, journal = {IEEE Transactions on Smart Grid}, volume = {2}, number = {4}, year = {2011}, month = {Nov 2011}, pages = {827-834}, publisher = {IEEE}, abstract = {

Most of energy control or SCADA (Supervisory Control and Data Acquisition) systems are very dependent on advanced technologies and on traditional security mechanisms for protecting the a system against anomalous events. Security mechanisms are not enough to be used in critical systems, since they can only detect anomalous events occurring at a certain moment in time. For this reason it becomes of paramount importance the usage of intelligent systems with capability for preventing anomalous situations and reacting against them on time. This type of systems are, for example, Early Warning Systems (EWS). In this paper, we propose an EWS based on Wireless Sensor Networks (WSNs) (under the ISA100.11a standard) and reputation for controling the network behaviour. The WSN are organized into clusters where a Cluster Head (CH) is designated. This CH will contain a Reputation Manager Module. The usability of this approach is also analyzed considering a Smart Grid scenario.} keywords = {Critical Information Infrastructures, Sensor Networks, Early Warning Systems, Reputation, SCADA Systems, Smart Grid.

}, keywords = {Early Warning Systems, Reputation, SCADA Systems, Smart Grid, wireless sensor networks}, issn = {1949-3053}, doi = {10.1109/TSG.2011.2161498}, author = {Cristina Alcaraz and Carmen Fernandez-Gago and Javier Lopez} } @inproceedings {Agudo2008b, title = {An Evolutionary Trust and Distrust Model}, booktitle = {4th Workshop on Security and Trust Management (STM{\textquoteright}08)}, series = {ENTCS}, volume = {224}, year = {2008}, pages = {3-12}, publisher = {Elsevier}, organization = {Elsevier}, address = {Trondheim, Norway}, abstract = {

In this paper we propose a trust model, where besides considering trust and distrust, we also consider another parameter that measures the reliability on the stability of trust or distrust. The inclusion of this new parameter will allow us to use trust in a more accurate way. We consider trust is not static but dynamic and trust values can change along time. Thus, we will also take time into account, using it as a parameter of our model. There is very little work done about the inclusion of time as an influence on trust. We will show the applicability of our model in the scenario of the process of reviewing papers for a conference. Sometimes for these kind of processes the Chair of the conference should first find the suitable reviewers. He can make this selection by using our model. Once the reviewers are selected they send out their reviews to the Chair who can also use our model in order to make the final decision about acceptance of papers.

}, issn = {1571-0661}, doi = {10.1016/j.entcs.2009.07.034}, author = {Isaac Agudo and Carmen Fernandez-Gago and Javier Lopez} }