{'fraction_non_alphanumeric': 0.032879818594104306, 'fraction_numerical': 0.0, 'mean_word_length': 4.5886075949367084, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Users tracking and roles mining in web-based applications

When a database is accessed via a web application, web-users are not connect directly to the database, but rather via the web application. From a database point of view, such a connection is always established by the same db-user (i.e. the web application's db-user) and specific data on the web-user is not available to the database. As a consequence, web-users' specific data cannot be audited and fine-grained access control cannot be implemented. We propose a method that provide the ability to track the web-users in web databases. The new method can be applied to legacy web applications without requiring any changes in their existing infrastructure. Using the tracked database, we propose a method to identify logical sessions (business logic), which we will use to mine the true users-roles of the web application.