Phishing mail generator with adaptive complexity using generative adversarial network

A non-transitory computer-readable storage medium having instructions thereon, wherein the instructions, when executed by a processing circuit, cause the processing circuit to:

• obtain a plurality of phishing emails from a trained generative adversarial neural network, the trained generative adversarial neural network including a generator neural network and a discriminator neural network;
• select a subset of phishing emails, from the plurality of phishing emails, using a reinforcement learning system trained on user-specific behavior based on likelihood that a particular user will take action on one or more of the subset of phishing emails;
• send one or more of the subset of phishing emails to a user email account associated with the particular user;
• and
• adjust the reinforcement learning system to select one or more phishing emails that are likely to cause the particular user to take action, based on user action feedback to the one or more of the subset of phishing emails.

A server, comprising:

• at least one processor;
• a communication interface communicatively coupled to the at least one processor;
• and
• a memory communicatively coupled to the at least one processor, wherein the at least one processor is configured to:
• obtain a plurality of phishing emails from a trained generative adversarial neural network, the trained generative adversarial neural network including a generator neural network and a discriminator neural network;
• select a subset of phishing emails, from the plurality of phishing emails, using a reinforcement learning system trained on user-specific behavior based on likelihood that a particular user will take action on one or more of the subset of phishing emails;
• send one or more of the subset of phishing emails to a user email account associated with the particular user;
• and
• adjust the reinforcement learning system to select one or more phishing emails that are likely to cause the particular user to take action, based on user action feedback to the one or more of the subset of phishing emails.