@article {RubioSIJCS19, title = {Tracking APTs in Industrial Ecosystems: A Proof of Concept}, journal = {Journal of Computer Security}, volume = {27}, year = {2019}, month = {09/2019}, pages = {521-546}, publisher = {Elsevier}, type = {ESORICS 2018 Special Issue }, issn = {0167-4048}, author = {Juan E. Rubio and Rodrigo Roman and Cristina Alcaraz and Yan Zhang} } @inproceedings {RubioRomanAlcarazZhang2018, title = {Tracking Advanced Persistent Threats in Critical Infrastructures through Opinion Dynamics}, booktitle = {European Symposium on Research in Computer Security (ESORICS 2018)}, volume = {11098}, year = {2018}, month = {08/2018}, pages = {555-574}, publisher = {Springer}, organization = {Springer}, address = {Barcelona, Spain}, 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.

}, keywords = {Advanced Persistent Threat, Detection, Opinion Dynamics, Traceability}, doi = {10.1007/978-3-319-99073-6_27}, url = {https://link.springer.com/chapter/10.1007/978-3-319-99073-6_27}, author = {Juan E. Rubio and Rodrigo Roman and Cristina Alcaraz and Yan Zhang} } @article {nrlSIC16, title = {Testificaci{\'o}n Digital}, journal = {Revista SIC}, volume = {122}, year = {2016}, month = {Nov 2016}, pages = {94-98}, publisher = {Ediciones CODA}, abstract = {

El creciente n{\'u}mero de dispositivos interconectados trae consigo problemas de seguridad bien conocidos; por ejemplo, aquellos debidos a las vulnerabilidades en protocolos muy diversos {\textendash}muchos de ellos propietarios{\textendash} y al factor de error humano introducido por los usuarios. Sin embargo, cabe preguntarse c{\'o}mo podemos usar el despliegue de tales dispositivos en beneficio de la ciberseguridad. En el proyecto IoTest se est{\'a} desarrollando una soluci{\'o}n, el Testigo Digital, que permitir{\'a} a los dispositivos personales con arquitectura de seguridad embebida reaccionar ante ataques virtuales, protegi{\'e}ndonos de los ciberataques emergentes.

}, issn = {1136-0623}, url = {https://revistasic.es/index.php?option=com_content\&view=article\&id=1713\&Itemid=1498}, author = {Ana Nieto and Rodrigo Roman and Javier Lopez} } @inproceedings {1578, title = {Testigo digital: delegaci{\'o}n vinculante de evidencias electr{\'o}nicas para escenarios IoT}, booktitle = {II Jornadas Nacionales de Investigaci{\'o}n en Ciberseguridad (JNIC 2016)}, year = {2016}, month = {06/2016}, pages = {109-116}, abstract = {

En un mundo en el que los usuarios dependen cada vez m{\'a}s de sus dispositivos, {\'e}stos almacenan gran cantidad de datos y son una fuente muy valiosa de informaci{\'o}n sobre su entorno. Sin embargo, la heterogeneidad y la densidad de los objetos conectados, caracter{\'\i}sticas propias de la Internet de las Cosas (IoT), sirven de velo para ocultar conductas maliciosas que afectan a estos dispositivos, sin que quede rastro de tales acciones. En este art{\'\i}culo definimos el concepto de testigo digital: funcionalidad que permitir{\'a} a los dispositivos personales y otros objetos colaborar para implementar una cadena de custodia digital en la IoT. El fin perseguido es ofrecer soluciones que mitiguen los efectos de la ciberdelincuencia, ampar{\'a}ndose en la colaboraci{\'o}n de los dispositivos con arquitecturas de seguridad embebidas para alertar de conductas maliciosas, y dejar constancia de {\'e}stas.

}, keywords = {computaci{\'o}n forense, elemento seguro, Evidencia electr{\'o}nica, IoT, no-repudio}, isbn = {978-84-608-8070-7}, url = {http://ucys.ugr.es/jnic2016/docs/ActasJNIC2016.pdf}, author = {Ana Nieto and Rodrigo Roman and Javier Lopez} } @article {PATENTDW15, title = {Testigo digital: procedimientos y dispositivos para la gesti{\'o}n segura de evidencias electr{\'o}nicas con credenciales vinculantes}, journal = {Espa{\~n}a, C. Aut{\'o}n./Reg. de explotaci{\'o}n: Andaluc{\'\i}a}, volume = {P201500764}, year = {2015}, month = {10/2015}, publisher = {G06F 21/00}, type = {Invention Patent}, edition = {Invention Patent}, chapter = {WO2017068222}, address = {Spain}, author = {Ana Nieto and Rodrigo Roman and Javier Lopez} } @inproceedings {Leon11, title = {Towards a Cooperative Intrusion Detection System for Cognitive Radio Networks}, booktitle = {Workshop on Wireless Cooperative Network Security (WCNS{\textquoteright}11)}, series = {LNCS}, year = {2011}, month = {May}, publisher = {Springer}, organization = {Springer}, abstract = {

Cognitive Radio Networks (CRNs) arise as a promising solution to the scarcity of spectrum. By means of cooperation and smart decisions influenced by previous knowledge, CRNs are able to detect and profit from the best spectrum opportunities without interfering primary licensed users. However, besides the well-known attacks to wireless networks, new attacks threat this type of networks. In this paper we analyze these threats and propose a set of intrusion detection modules targeted to detect them. Provided method will allow a CRN to identify attack sources and types of attacks, and to properly react against them.

}, doi = {10.1007/978-3-642-23041-7_22}, url = {http://www.networking2011.org/workshops/WCNS.html}, author = {Olga Leon and Rodrigo Roman and Juan Hernandez Serrano} } @article {JavierLopezMunoz2010, title = {Trust Management Systems for Wireless Sensor Networks: Best practices}, journal = {Computer Communications}, volume = {33}, number = {9}, year = {2010}, pages = {0140-3664}, publisher = {Elsevier}, abstract = {

Wireless sensor networks (WSNs) have been proven a useful technology for perceiving information about the physical world and as a consequence has been used in many applications such as measurement of temperature, radiation, flow of liquids, etc. The nature of this kind of technology, and also their vulnerabilities to attacks make the security tools required for them to be considered in a special way. The decision making in a WSN is essential for carrying out certain tasks as it aids sensors establish collaborations. In order to assist this process, trust management systems could play a relevant role. In this paper, we list the best practices that we consider are essential for developing a good trust management system for WSN and make an analysis of the state of the art related to these practices.

}, issn = {0140-3664}, doi = {10.1016/j.comcom.2010.02.006}, author = {Javier Lopez and Rodrigo Roman and Isaac Agudo and Carmen Fernandez-Gago} } @incollection {Roman2009b, title = {Trust and Reputation Systems for Wireless Sensor Networks}, booktitle = {Security and Privacy in Mobile and Wireless Networking}, year = {2009}, pages = {105-128}, publisher = {Troubador Publishing Ltd}, organization = {Troubador Publishing Ltd}, abstract = {

The concept of trust has become very relevant in the late years as a consequence of the growth of fields such as internet transactions or electronic commerce. In general, trust has become of paramount importance for any kind of distributed networks, such as wireless sensor networks (WSN in the following). In this chapter of the book, we try to give a general overview of the state of the art on trust management systems for WSN and also try to identify the main features of the architectures of these trust management systems.

}, isbn = {978-1905886-906}, author = {Rodrigo Roman and Carmen Fernandez-Gago and Javier Lopez and Hsiao Hwa Chen}, editor = {Stefanos Gritzalis and Tom Karygiannis and Charalabos Skianis} }