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. Collaborative systems are growing in use and popularity. The need to boost the methods concerning the interoperability is growing as well; therefore, trustworthy interactions of the different systems are a priority. The decision regarding with whom and how to interact with other users or applications depends on each system. We focus on providing trust verdicts by evaluating the behaviors of different agents, using distributed on-line network monitoring. This will provide trust management systems information regarding a trustee experience, for those trust management systems based on "soft trust". In this work, we propose a scalable evaluation method for any on-line network monitoring system, by using an auxiliary model, an extended finite state automaton (EFSA), and as well as other known methods to reduce the time complexity of the evaluation algorithm. Keywords: trust management; on-line network monitoring; scalable evaluation; 1. Introduction Internet applications have become one of the most popular ways to socially interact, make commerce, and create collaborative work; making them a daily part of our living. With time, the collaborative aspects supported by Internet have evolved bringing new tools, methodologies and concepts. These systems keep growing in use and in popularity. The need to boost the interoperability methods related to them is growing as well; making thus trustworthy interactions of the different systems a priority. These concepts of trust have been brought to computer science. The systems need to interact with users and with other applications. The decision regarding with whom and how to interact with other users or applications depend on each application or system. There are many definitions of trust in the literature, but the one we adopt

Scalable Evaluation of Distributed On-line Network Monitoring for Behavioral Feedback in Trust Management