Getting More from Reputation Systems: A Context-Aware Reputation Framework Based on Trust Centers and Agent Lists

Authors:
Rehab AlNemr;Christoph Meinel
Affiliations:
-;-
Venue:
ICCGI '08 Proceedings of the 2008 The Third International Multi-Conference on Computing in the Global Information Technology (iccgi 2008)
Year:
2008

Citing 0
Cited 7

Enlightenment 2.0: Facilitating User Control in Distributed Collaborative Applications

WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Advanced SIM Capabilities Supporting Trust-Based Applications

NordSec '09 Proceedings of the 14th Nordic Conference on Secure IT Systems: Identity and Privacy in the Internet Age
Towards semantic event-driven systems

NTMS'09 Proceedings of the 3rd international conference on New technologies, mobility and security
Enabling reputation interoperability through semantic technologies

Proceedings of the 6th International Conference on Semantic Systems
Enabling usage control through reputation objects: a discussion on e-commerce and the internet of services environments

Journal of Theoretical and Applied Electronic Commerce Research
Contract-based cloud architecture

CloudDB '10 Proceedings of the second international workshop on Cloud data management
A security and high-availability layer for cloud storage

WISS'10 Proceedings of the 2010 international conference on Web information systems engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

Reputation is a crucial factor in trust and thus in web communities. Trust strategies may involve investigating user reputation or directly using transitive reputation to form the Web of Trust. We suggest an approach that takes advantage of both strategies without increasing the cost of investigation. Several systems nowadays form what we call “user web communities”. In these communities, reputation related to different contexts needs to be exchanged. The perception, calculation and interpretation of this reputation differ from one community to another. We propose the development of reference models to diminish the distance between these multi-perceptions. We also propose the use of reputation centers to facilitate reputation transfer and highlight the importance of their role in analyzing attacks on reputation.