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dc.contributor.authorMartinez Monterrubio, Sergio Mauricio (1)
dc.contributor.authorArmas Naranjo, Joseph Eduardo (1)
dc.contributor.authorBarona Lopez, Lorena Isabel
dc.contributor.authorValdivieso Caraguay, Angel Leonardo
dc.date2021
dc.date.accessioned2022-04-20T12:02:53Z
dc.date.available2022-04-20T12:02:53Z
dc.identifier.isbn9780738143613
dc.identifier.urihttps://reunir.unir.net/handle/123456789/12876
dc.description.abstractThis work aims to develop the Black Widow crawler focused on the Tor network, which searches, analyzes, and indexes websites containing criminal patterns. Also, a comparison of the results of the Black Widow crawler with one of the best crawlers found during information gathering is carried out, to confirm the possibility of an improvement in the current crawlers of the Tor network. The experiments demonstrate that the current crawlers can be improved. Compared to the current crawler, the Black Widow crawler achieved a 240% improvement in the number of indexed secret services.es_ES
dc.language.isoenges_ES
dc.publisherInstitute of Electrical and Electronics Engineers Inc.es_ES
dc.relation.urihttps://ieeexplore.ieee.org/document/9447337es_ES
dc.rightsrestrictedAccesses_ES
dc.subjectcrawleres_ES
dc.subjectcriminal patternses_ES
dc.subjectdark webes_ES
dc.subjecttores_ES
dc.subjectScopus(2)es_ES
dc.titleBlack Widow Crawler for TOR network to search for criminal patternses_ES
dc.typeconferenceObjectes_ES
reunir.tag~ARIes_ES
dc.identifier.doihttps://doi.org/10.1109/ICI2ST51859.2021.00023


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