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dc.date.accessioned 2021-09-20T12:38:49Z
dc.date.available 2021-09-20T12:38:49Z
dc.date.issued 2021
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/125152
dc.description.abstract This document presents a line of doctoral research that proposes a cybersecurity strategy that has not been formally standardized up to now, based on knowledge of defense intelligence operations, and applying a dynamic approach, in a context of threat risk, anticipating its effectiveness . In this way, change the current approach, leaving aside the old concept of "walled" defense, for a more innovative one, where information collectors or "spies" infiltrate "unknown terrain" or external networks to extract data and information, learn from context, analyze and detect patterns, be willing to share the knowledge, and then be able to make defensive, deterrent, or offensive decisions in real time. en
dc.format.extent 51-54 es
dc.language en es
dc.subject Cybersecurity es
dc.subject Big Data es
dc.subject Data Intelligence es
dc.subject Multivendor es
dc.title Distributed Cybersecurity Strategy, applying Intelligence Operation concept through data collection and analysis en
dc.type Objeto de conferencia es
sedici.identifier.isbn 978-950-34-2016-4 es
sedici.creator.person Gallardo Urbini, Ignacio Martín es
sedici.creator.person Bazán, Patricia Alejandra es
sedici.creator.person Venosa, Paula es
sedici.creator.person Rio, Nicolás del es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2021
sedici.relation.event IX Jornadas de Cloud Computing, Big Data & Emerging Topics (Modalidad virtual, 22 al 25 de junio de 2021) es
sedici.description.peerReview peer-review es
sedici.relation.isRelatedWith http://sedici.unlp.edu.ar/handle/10915/121564 es
sedici.relation.bookTitle Short papers of the 9th Conference on Cloud Computing Conference, Big Data & Emerging Topics es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)