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J. E. Rubio, M. Manulis, C. Alcaraz, and J. Lopez, "Enhancing Security and Dependability of Industrial Networks with Opinion Dynamics",
European Symposium on Research in Computer Security (ESORICS2019), vol. 11736, pp. 263-280, 09/2019. DOI More..
PDF icon RubioESORICS2019.pdf (489.08 KB)
C. Alcaraz, J. Rodriguez, R. Roman, and J. E. Rubio, "Estado y Evolución de la Detección de Intrusiones en los Sistemas Industriales",
III Jornadas Nacionales de Investigación en Ciberseguridad (JNIC 2017), 2017. More..


Debido a la necesidad de proteger los sistemas industriales ante amenazas, se hace necesario comprender cual es el verdadero alcance de los mecanismos capaces de detectar potenciales anomalías e intrusiones. Es por tanto el objetivo de este artículo analizar el estado y la evolución, tanto académica como industrial, de los mecanismos de detección de intrusiones en este campo, así como estudiar su aplicabilidad actual y futura.

PDF icon 1653.pdf (271.14 KB)
C. Alcaraz, C. Fernandez-Gago, and J. Lopez, "An Early Warning System based on Reputation for Energy Control Systems",
IEEE Transactions on Smart Grid, vol. 2, no. 4, IEEE, pp. 827-834, Nov 2011. DOI More..


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.

PDF icon Alcaraz2011.pdf (495.57 KB)
C. Alcaraz, A. Balastegui, and J. Lopez, "Early Warning System for Cascading Effect Control in Energy Control Systems",
5th International conference on Critical Information Infrastructures Security (CRITIS’10), LNCS 6712, Springer, pp. 55-67, September, 2010. More..


A way of controlling a cascading effect caused by a failure or a threat in a critical system is using intelligent mechanisms capable of predicting anomalous behaviours and also capable of reacting against them in advance. These mechanisms are known as Early Warning Systems (EWS) and this will be precisely the main topic of this paper. Specially, we present an EWS design based on a Wireless Sensor Network (using the ISA100.11a standard) that constantly supervise the application context. This EWS is also based on forensic techniques to provide dynamic learning capacities. As a result, this new approach will aid to provide a reliable control of incidences by offering a dynamic alarm management, identification of the most suitable field operator to attend an alarm, reporting of causes and responsible operators, and learning from new anomalous situations.

PDF icon Alcaraz2010b.pdf (5.6 MB)
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