A collaboration-based autonomous reputation system for email services
INFOCOM'10 Proceedings of the 29th conference on Information communications
Detecting spammers with SNARE: spatio-temporal network-level automatic reputation engine
SSYM'09 Proceedings of the 18th conference on USENIX security symposium
Addressing common vulnerabilities of reputation systems for electronic commerce
Journal of Theoretical and Applied Electronic Commerce Research
Detecting spammers via aggregated historical data set
NSS'12 Proceedings of the 6th international conference on Network and System Security
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Today a common goal in the area of email security is to provide protection from a wide variety of threats by being more predictive instead of reactive and to identify legitimate messages in addition to illegitimate messages. There has been previous work in the area of email reputation systems that can accomplish these broader goals by collecting, analyzing, and distributing email entities' past behavior characteristics. In this paper, we provide taxonomy that examines the required properties of email reputation systems, identifies the range of approaches, and surveys previous work.