    @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 = {<pre>
<!--StartFragment-->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.<!--EndFragment--></pre>
},
	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 = {<p>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.</p>
},
	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}
}
