Dark Web Illegal Activities Crawling and Classifying Using Data Mining Techniques

Dark web is a canopy concept that denotes any kind of illicit activities carried out by anonymous persons or organizations, thereby making it difficult to trace. The content on the dark constantly updated and changed. collection classification such illegal are challenging tasks, as they time-consuming. This problem has in recent times emerged an issue requires quick attention from both industry academia. To this end, efforts have been made article crawler capable collecting pages, cleaning them, saving them document database, proposed. carries automatic gathered pages into five classes. classifiers used classifying include Linear Support Vector Classifier (SVC), Naïve Bayes (NB), Document Frequency (TF-IDF). experimental results revealed accuracy rate 92% 81% were achieved SVC NB, respectively.