Forecasting and classifying cyber-attacks using neural embeddings

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United States of America Patent

PATENT NO 9866580
SERIAL NO

15019073

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Abstract

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A first collection including a first feature vector and a Q&A feature vector is constructed. A second collection is constructed from the first collection by inserting noise in at least one of the vectors. A third collection is constructed by crossing over at least one the vectors of the second collection with a corresponding vector of a fourth collection, migrating at least one of the vectors of the second collection with a corresponding vector of a fifth collection, or both. Using a forecasting configuration, a vector of the third collection is aged to generate a changed feature vector, the changed feature vector containing feature values expected at a future time. The changed feature vector is input into a trained neural network to predict a probability of the cyber-attack occurring at the future time.

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Patent Owner(s)

  • INTERNATIONAL BUSINESS MACHINES CORPORATION

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Ahmed, Mohamed N Leesburg, US 31 254
Baughman, Aaron K Silver Spring, US 411 2155
Behnken, John F Hurley, US 15 72
Marzorati, Mauro Lutz, US 180 1032

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