    @article {Alcaraz:2017:IJCIS,
	title = {Resilient Industrial Control Systems based on Multiple Redundancy},
	journal = {International Journal of Critical Infrastructures (IJCIS)},
	volume = {13},
	number = {2/3},
	year = {2017},
	month = {11/2017},
	pages = {278 - 295},
	publisher = {Inderscience Publisher},
	address = {London, UK},
	abstract = {<p class="rtejustify">The incessant search for cost-effective recovery solutions for structural\&nbsp;controllability has led to one of the most challenging research areas within the\&nbsp;field of critical infrastructure protection. The resilience of large heterogeneous\&nbsp;distributions, like industrial control scenarios, is proving to be a complicated\&nbsp;mission due to the inherent non-locality problems of structural controllability and\&nbsp;its susceptibility to advanced threats. To address these issues, this paper proposes a\&nbsp;new repair approach based on multiple redundant pathways and the lessons learnt\&nbsp;from the work presented in [1]. From [1], we have adapted the local measures, to\&nbsp;combine them with each of the five strategies of remote reconnection described in\&nbsp;this paper. To validate the sustainability of the combined approaches, two practical\&nbsp;case studies are presented here, showing that a local dependence on a brother\&nbsp;driver node together with remote dependence is enough to reach optimal states\&nbsp;in linear times.</p>
},
	issn = {1741-8038},
	doi = {http://dx.doi.org/10.1504/IJCIS.2017.10009287},
	author = {Cristina Alcaraz}
}
