Dark web content analysis and identification

A method for web content monitoring and control executable by at least one processor, the method comprising:

• generating clusters from data that includes text and images, wherein the text includes embedded text extracted from the images;
• training, based on the clusters, a generative machine learning model and a machine learning image classifier;
• identifying monitoring clusters from the clusters based on captured data including content from the Internet;
• determining whether sufficient training data is available to train the machine learning image classifier to classify the captured data;
• based on a determination that sufficient training data is not available, utilizing the generative machine learning model to generate additional training data to analyze the captured data with respect to the monitoring clusters;
• based on a determination that sufficient training data is available, utilizing the machine learning image classifier to analyze the captured data with respect to the monitoring clusters;
• and
• controlling, based on the analysis of the captured data, an operation associated with a website related to the captured data.

A non-transitory computer readable medium having stored thereon machine readable instructions, the machine readable instructions, when executed by at least one hardware processor, cause the at least one hardware processor to:

• perform text and image processing on data, including images and text, to extract text embedded in the images;
• perform deep embedded clustering with respect to the text, the images, and the text extracted from the images to generate a plurality of clusters;
• identify clusters, from the plurality of generated clusters, for monitoring;
• determine whether sufficient training data is available to train a machine learning image classifier to classify, based on the identified clusters, captured data including content from the Internet,
• based on a determination that sufficient training data is not available, utilize a generative machine learning model to generate additional training data to analyze the captured data with respect to the identified clusters, and
• based on a determination that sufficient training data is available, utilize the machine learning image classifier to analyze the captured data with respect to the identified clusters;
• and
• control, based on the analysis of the captured data, an operation associated with a website related to the captured data.