Dark Web

The dark web, a hidden portion of the internet inaccessible through standard search engines, is a focus of intense research due to its association with illicit activities. Current research emphasizes developing robust methods for detecting and classifying dark web traffic and content, employing machine learning techniques such as boosting algorithms, Siamese neural networks, and deep learning models (including LSTMs and BERT variants) to analyze network traffic patterns, textual data, and images. These advancements aim to improve cybersecurity measures, enhance law enforcement capabilities in tracking criminal activity, and provide a deeper understanding of the dark web's linguistic and behavioral characteristics. The resulting insights have significant implications for combating cybercrime and protecting online safety.