Security breaches are a major concern by both governmental and corporative organisations. This is the case, among others, of airports and official buildings, where X-ray security scanners are deployed to detect elements representing a threat to the human life. In this paper we propose a formal distributed schema, formally specified and analysed, to detect suspicious artefacts. Our approach consists in the integration of several image detection algorithms in order to detect a wide spectrum of weapons, such as guns, knifes and bombs. Also, we present a case of study, where some performance experiments are carried out for analysing the scalability of this schema when it is deployed in current systems.
CITATION STYLE
Cañizares, P. C., Merayo, M. G., & Núñez, A. (2016). FARTHEST: FormAl distRibuTed scHema to dEtect suspicious arTefacts. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9621, pp. 770–779). Springer Verlag. https://doi.org/10.1007/978-3-662-49381-6_74
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