Intent-based approach leverages neural networks to deliver targeted classifications to BECs


Researchers on Wednesday explained an innovative new way to mitigate business email compromise (BEC) attacks, an intent-based approach using neural networks that detects the BEC and then classifies it into a specific type of scam.

In a blog post, Cisco Talos researchers said in the intent-based approach, the system catches BEC messages irrespective of whether a threat actor impersonates a C-level executive or any rank-and-file employee in the organization. This approach extracts text from an email, converts sentences to numeric vectors by encoding the meaning of words in the sentences, using the neural network language model (NNLM) or Bi-directional Encoder Representations from Transformers (BERT) encodings. It then performs detection and classification using deep neural networks.

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