Abstract: Disclosed herein are systems and methods for monitoring network traffic to identify cyberattacks. An example method includes obtaining a first plurality of data packets transmitted over a network during at least one period of time; determining a plurality of feature values based on the plurality of data packets, each feature corresponding to execution of a protocol by the first system; generating an embedding based on the plurality of feature values and an encoder, the encoder configured to generate embeddings based on pluralities of feature values, the embeddings corresponding to a period of time; and determining that at least one data packet of the plurality of data packets is involved in a cyberattack based on the embedding. The method can include causing an execution of a remedial protocol in association with the first system.

Abstract: Disclosed herein are systems and methods for monitoring network traffic to identify cyberattacks. An example method includes obtaining a first plurality of data packets transmitted over a network during at least one period of time; determining a plurality of feature values based on the plurality of data packets, each feature corresponding to execution of a protocol by the first system; generating an embedding based on the plurality of feature values and an encoder, the encoder configured to generate embeddings based on pluralities of feature values, the embeddings corresponding to a period of time; and determining that at least one data packet of the plurality of data packets is involved in a cyberattack based on the embedding. The method can include causing an execution of a remedial protocol in association with the first system.