    @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 = {<p class="rtejustify">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.</p>
},
	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}
}
