Tulungan: A reputation system for collaborative web filtering that encourages cooperation among contributors and raters
Date of Publication
Doctor of Philosophy in Computer Science
College of Computer Studies
Susan Pancho Festin
Defense Panel Chair
Defense Panel Member
Collaborative web filtering systems allow anyone to categorize websites in order to determine which domain these sites belong (e.g., pornography, violence, sports, etc.). However, its success is greatly dependent on user cooperation. To promote cooperation, reputation system can be used in web filtering. This study discusses a reputation system for collaborative web filtering called Tulungan that utilizes a user-driven reputation system. The concept of reward and punishment on repu- tation systems in mobile ad-hoc networks (MANETs) that promote cooperation among mobile nodes were adopted to encourage users to categorize and verify the categories of others. A model and simulation of Tulungan were developed to verify its effectiveness. Simulation results show that Tulungan is consensus-independent since it can still be effective even if there are less than 50% good users. It is also attack-resistant and collusion-resistant since it can still reward good users with high reputation values even with the presence of colluding, self-promoting and slandering users as well as whitewashing, orchestrating, and denial-of-service attacking users.
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Pantola, A. V. (2013). Tulungan: A reputation system for collaborative web filtering that encourages cooperation among contributors and raters. Retrieved from https://animorepository.dlsu.edu.ph/etd_doctoral/352