Bitdefender Ipr Management Ltd.

Sorina N Zamfir

Stefan Niculae

Andrei A Apostoae

Daniel Dichiu

Andreea Dincu

Elena A Bosinceanu

Razvan Prejbeanu

Robert M Botarleanu

In some embodiments, a behavior classifier comprises a set of neural networks trained to determine whether a monitored software entity is malicious according to a sequence of computing events caused by the execution of the respective entity. When the behavior classifier indicates that the entity is malicious, some embodiments execute a memory classifier comprising another set of neural networks trained to determine whether the monitored entity is malicious according to a memory snapshot of the monitored entity. Applying the classifiers in sequence may substantially reduce the false positive detection rate, while reducing computational costs.

Machine learning systems and methods for reducing the false positive malware detection rate

Growing community of inventors

Buchare, Romania

Sorina N Zamfir