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J. E. Rubio, C. Alcaraz, and J. Lopez, "Selecting Privacy Solutions to Prioritise Control in Smart Metering Systems",
The 11th International Conference on Critical Information Infrastructures Security, vol. 10242, pp. 176-188, 2017. More..

Abstract

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)
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)
J. E. Rubio, R. Roman, and J. Lopez, "Analysis of cybersecurity threats in Industry 4.0: the case of intrusion detection",
The 12th International Conference on Critical Information Infrastructures Security, vol. Lecture Notes in Computer Science, vol 10707, Springer, pp. 119-130, 08/2018. More..
PDF icon 1666.pdf (236.18 KB)
J. E. Rubio, R. Roman, C. Alcaraz, and Y. Zhang, "Tracking APTs in Industrial Ecosystems: A Proof of Concept",
Journal of Computer Security, vol. 27, issue 5, Elsevier, pp. 521-546, 09/2019. (I.F.: 3.579)More..
Impact Factor: 3.579
Journal Citation Reports® Science Edition (Thomson Reuters, 2019)

PDF icon RubioSIJCS19.pdf (3.26 MB)
J. E. Rubio, C. Alcaraz, and J. Lopez, "Preventing Advanced Persistent Threats in Complex Control Networks",
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 RubioAlcarazLopez2017ESORICS.pdf (955.81 KB)
J. E. Rubio, C. Alcaraz, R. Rios, R. Roman, and J. Lopez, "Distributed Detection of APTs: Consensus vs. Clustering",
25th European Symposium on Research in Computer Security (ESORICS 2020), vol. 12308, pp. 174-192, 09/2020. DOI More..
PDF icon 1846.pdf (1.07 MB)
J. E. Rubio, C. Alcaraz, R. Roman, and J. Lopez, "Current Cyber-Defense Trends in Industrial Control Systems",
Computers & Security Journal, vol. 87, Elsevier, 11/2019. DOI (I.F.: 3.579)More..

Abstract

Advanced Persistent Threats (APTs) have become a serious hazard for any critical infrastructure, as a single solution to protect all industrial assets from these complex attacks does not exist. It is then essential to understand what are the defense mechanisms that can be used as a first line of defense. For this purpose, this article will firstly study the spectrum of attack vectors that APTs can use against existing and novel elements of an industrial ecosystem. Afterwards, this article will provide an analysis of the evolution and applicability of Intrusion Detection Systems (IDS) that have been proposed in both the industry and academia.

Impact Factor: 3.579
Journal Citation Reports® Science Edition (Thomson Reuters, 2019)

PDF icon rub2019cose.pdf (190.71 KB)
J. E. Rubio, C. Alcaraz, R. Roman, and J. Lopez, "Analysis of Intrusion Detection Systems in Industrial Ecosystems",
14th International Conference on Security and Cryptography (SECRYPT 2017), vol. 6, SciTePress, pp. 116-128, 2017. DOI More..
PDF icon 1662.pdf (312.9 KB)
J. E. Rubio, C. Alcaraz, and J. Lopez, "Game Theory-Based Approach for Defense against APTs",
18th International Conference on Applied Cryptography and Network Security (ACNS’20), vol. 12147, Springer, pp. 297-320, 10/2020. DOI
J. E. Rubio, R. Roman, C. Alcaraz, and Y. Zhang, "Tracking Advanced Persistent Threats in Critical Infrastructures through Opinion Dynamics",
European Symposium on Research in Computer Security (ESORICS 2018), vol. 11098, Springer, pp. 555-574, 08/2018. DOI More..

Abstract

Advanced persistent threats pose a serious issue for modern industrial environments, due to their targeted and complex attack vectors that are difficult to detect. This is especially severe in critical infrastructures that are accelerating the integration of IT technologies. It is then essential to further develop effective monitoring and response systems that ensure the continuity of business to face the arising set of cyber-security threats. In this paper, we study the practical applicability of a novel technique based on opinion dynamics, that permits to trace the attack throughout all its stages along the network by correlating different anomalies measured over time, thereby taking the persistence of threats and the criticality of resources into consideration. The resulting information is of essential importance to monitor the overall health of the control system and correspondingly deploy accurate response procedures.

PDF icon RubioRomanAlcarazZhang2018.pdf (1.21 MB)
J. E. Rubio, C. Alcaraz, and J. Lopez, "Recommender System for Privacy-Preserving Solutions in Smart Metering",
Pervasive and Mobile Computing, vol. 41, Pervasive and Mobile Computing, pp. 205-218, 10/2017. (I.F.: 2.974)More..

Abstract

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: 2.974
Journal Citation Reports® Science Edition (Thomson Reuters, 2017)

PDF icon rubiorecommender17.pdf (461.99 KB)
J. E. Rubio, R. Roman, and J. Lopez, "Integration of a Threat Traceability Solution in the Industrial Internet of Things",
IEEE Transactions on Industrial Informatics, vol. 16, issue 10, no. 6575-6583, IEEE, 10/2020. DOI (I.F.: 10.215)More..

Abstract

In Industrial Internet of Things (IIoT) scenarios, where a plethora of IoT technologies coexist with consolidated industrial infrastructures, the integration of security mechanisms that provide protection against cyber-security attacks becomes a critical challenge. Due to the stealthy and persistent nature of some of these attacks, such as Advanced Persistent Threats, it is crucial to go beyond traditional Intrusion Detection Systems for the traceability of these attacks. In this sense, Opinion Dynamics poses a novel approach for the correlation of anomalies, which has been successfully applied to other network security domains. In this paper, we aim to analyze its applicability in the IIoT from a technical point of view, by studying its deployment over different IIoT architectures and defining a common framework for the acquisition of data considering the computational constraints involved. The result is a beneficial insight that demonstrates the feasibility of this approach when applied to upcoming IIoT infrastructures.

Impact Factor: 10.215
Journal Citation Reports® Science Edition (Thomson Reuters, 2020)

PDF icon Rubio2020IIoT.pdf (2.13 MB)
J. E. Rubio, C. Alcaraz, and J. Lopez, "Addressing Security in OCPP: Protection Against Man-in-the-Middle Attacks",
9th IFIP International Conference on New Technologies, Mobility & Security, 2018. More..
PDF icon 1692.pdf (259.16 KB)