{'fraction_non_alphanumeric': 0.01509705248023005, 'fraction_numerical': 0.002156721782890007, 'mean_word_length': 5.052173913043478, '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}}
Extending Trust Transitivity in Databases

management now-a-days provides a promising approach for supporting access control in open environments. Trust transfer is a common technique employed in trust management systems to establish relationships between the two parties involved in a transaction who are strangers. Trust negotiation occurs when the two parties establish trust over the web. The paper proposes a model showing how trust can be transferred from a previous trust context to a new trust context. General Terms Database Security trust is represented as a subjective real number between the range - 1 and +1. The model exhibits problems at the extreme edges and at 0. Secondly, the operators and algebra for manipulating trust values are limited and have trouble dealing with negative trust values. Marsh also pointed to difficulties with the concept of "negative" trust and its propagation. His model is complex and based on social and psychological factors. The model is highly theoretical and difficult to implement. It is particularly inappropriate for use in social networks because his focus was on interacting agents that could maintain information about history and observed behaviors. In social networks, users assign a single rating without explicit context or history to their neighbors and thus much of the information necessary for a system like Marsh's is missing.