Thomson Reuters Enterprise Centre Gmbh

Spencer Bradley Torene

Blake Howald

Jason A Thomas

Berk Ekmekci

William Garcia

Matt Machado

Zach Seid

James Tuttle

Nathan Maynes

Hannah Lensing

Casey Fallin

Aspects of the present disclosure provide systems, methods, apparatus, and computer-readable storage media for determining semantic relationships between hashtags in social media messages, particularly for use in generating a hierarchical ontology of hashtags based on co-occurrence frequency and diversity metrics. For example, natural language processing may be performed on a plurality of social media messages to extract hashtags from the social media messages. Co-occurrence frequency counts for at least two hashtags and other hashtags, in addition to an ensemble score based on a combination of one or more diversity metrics, may be determined. A hierarchical ontology may be generated based on the co-occurrence frequency counts and the ensemble scores for the at least two hashtags. Such a hierarchical ontology may group hashtags into communities of common topics that are ordered based on ensemble scores.

System and method for automated hashtag hierarchical ontology generation from social media data

Computer implemented methods are provided for facilitating social engineering campaigns. The methods generally include maintaining at least one database that includes metadata for a plurality of fictional personas, metadata for a plurality of potential targets, information for a plurality of social engineering campaigns, such as a plurality of campaign scenarios, and information regarding social engineering successes with respect to at least one fictional persona, at least one potential target, at least one social engineering campaign, or a combination thereof. The method further includes receiving a selection of a campaign scenario from the plurality of campaign scenarios, receiving a selection of at least one of the plurality of potential targets, and selecting at least one of the plurality of fictional personas for use in a social engineering campaign based on an expected effectiveness of the given fictional personas with respect to the selected targets.

System and method for conducting social engineering red team campaigns

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Potomac, MD, United States of America

Spencer Bradley Torene