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J. E. Rubio, R. Roman, and J. Lopez, "Analysis of cybersecurity threats in Industry 4.0: the case of intrusion detection", In The 12th International Conference on Critical Information Infrastructures Security, In Press.
J. E. Rubio, C. Alcaraz, R. Roman, and J. Lopez, "Analysis of Intrusion Detection Systems in Industrial Ecosystems", In 14th International Conference on Security and Cryptography (SECRYPT 2017), 2017. More..
PDF icon 1662.pdf (312.9 KB)
C. Alcaraz, J. Rodriguez, R. Roman, and J. E. Rubio, "Estado y Evolución de la Detección de Intrusiones en los Sistemas Industriales", In 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)
J. E. Rubio, C. Alcaraz, and J. Lopez, "Preventing Advanced Persistent Threats in Complex Control Networks", In European Symposium on Research in Computer Security, vol. 10493, 22nd European Symposium on Research in Computer Security (ESORICS 2017), pp. 402-418, 09/2017. More..
PDF icon RubioAlcarazLopez:2017:ESORICS.pdf (955.81 KB)
J. Lopez, et al., "Protecting Industry 4.0 against Advanced Persistent Threats", In European CIIP Newsletter, vol. 11, issue 26, no. 1, European CIIP Newsletter, pp. 27-29, 03/2017. More..
PDF icon lopez2017ecn.pdf (226.62 KB)
J. E. Rubio, C. Alcaraz, and J. Lopez, "Recommender System for Privacy-Preserving Solutions in Smart Metering", In Pervasive and Mobile Computing, Pervasive and Mobile Computing, 2017. ISI JCR Impact Factor 2016: 2.349 More..


Nowadays, Smart Grid is envisaged to provide several benefits to both customers and grid operators. However, Smart Meters introduce many privacy issues if consumption data is analysed. In this paper we analyse the main techniques that address privacy when collecting electricity readings. In addition to privacy, it is equally important to preserve efficiency to carry on with monitoring operations, so further control requirements and communication protocols are also studied. Our aim is to provide guidance to installers who intend to integrate such mechanisms on the grid, presenting an expert system to recommend an appropriate deployment strategy.

Impact Factor: 2.349
Journal Citation Reports® Science Edition (Thomson Reuters, 2016)

PDF icon rubiorecommender17.pdf (461.99 KB)
J. E. Rubio, C. Alcaraz, and J. Lopez, "Selecting Privacy Solutions to Prioritise Control in Smart Metering Systems", In The 11th International Conference on Critical Information Infrastructures Security, vol. LNCS, 2017. More..


The introduction of the Smart Grid brings with it several benefits to society, because its bi-directional communication allows both users and utilities to have better control over energy usage. However, it also has some privacy issues with respect to the privacy of the customers when analysing their consumption data. In this paper we review the main privacy-preserving techniques that have been proposed and compare their efficiency, to accurately select the most appropriate ones for undertaking control operations. Both privacy and performance are essential for the rapid adoption of Smart Grid technologies.

PDF icon 1600.pdf (275.75 KB)