Tulungan: A reputation system for collaborative web filtering that encourages cooperation among contributors and raters

Date of Publication

2013

Document Type

Dissertation

Degree Name

Doctor of Philosophy in Computer Science

College

College of Computer Studies

Department/Unit

Computer Science

Thesis Adviser

Susan Pancho Festin

Defense Panel Chair

Florante Salvador

Defense Panel Member

Roel Ocampo
Arnulfo Azcarraga
Nelson Marcos

Abstract/Summary

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.

Abstract Format

html

Language

English

Format

Electronic

Accession Number

CDTG005354

Shelf Location

Archives, The Learning Commons, 12F Henry Sy Sr. Hall

Physical Description

1 computer optical disc ; 4 3/4 in.

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