@article {14367,
	title = {Trusting spam reporters: A reporter-based reputation system for email filtering},
	journal = {ACM Transactions on Information Systems (TOIS)},
	volume = {27},
	year = {2008},
	month = {2008/12//},
	pages = {3:1{\textendash}3:27 - 3:1{\textendash}3:27},
	abstract = {Spam is a growing problem; it interferes with valid email and burdens both email users and service providers. In this work, we propose a reactive spam-filtering system based on reporter reputation for use in conjunction with existing spam-filtering techniques. The system has a trust-maintenance component for users, based on their spam-reporting behavior. The challenge that we consider is that of maintaining a reliable system, not vulnerable to malicious users, that will provide early spam-campaign detection to reduce the costs incurred by users and systems. We report on the utility of a reputation system for spam filtering that makes use of the feedback of trustworthy users. We evaluate our proposed framework, using actual complaint feedback from a large population of users, and validate its spam-filtering performance on a collection of real email traffic over several weeks. To test the broader implication of the system, we create a model of the behavior of malicious reporters, and we simulate the system under various assumptions using a synthetic dataset.},
	keywords = {reputation systems, Spam filtering, trust},
	isbn = {1046-8188},
	doi = {10.1145/1416950.1416953},
	url = {http://doi.acm.org/10.1145/1416950.1416953},
	author = {Zheleva,Elena and Kolcz,Aleksander and Getoor, Lise}
}
