MailRank: using ranking for spam detection
Proceedings of the 14th ACM international conference on Information and knowledge management
Fighting Spam with Reputation Systems
Queue - Social Computing
Understanding the network-level behavior of spammers
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
Email prioritization: reducing delays on legitimate mail caused by junk mail
ATEC '04 Proceedings of the annual conference on USENIX Annual Technical Conference
NSDI'06 Proceedings of the 3rd conference on Networked Systems Design & Implementation - Volume 3
Taxonomy of Email Reputation Systems
ICDCSW '07 Proceedings of the 27th International Conference on Distributed Computing Systems Workshops
Filtering spam with behavioral blacklisting
Proceedings of the 14th ACM conference on Computer and communications security
RepuScore: collaborative reputation management framework for email infrastructure
LISA'07 Proceedings of the 21st conference on Large Installation System Administration Conference
Exploiting network structure for proactive spam mitigation
SS'07 Proceedings of 16th USENIX Security Symposium on USENIX Security Symposium
Addressing email loss with SureMail: measurement, design, and evaluation
ATC'07 2007 USENIX Annual Technical Conference on Proceedings of the USENIX Annual Technical Conference
An empirical study of behavioral characteristics of spammers: Findings and implications
Computer Communications
Blocking spam by separating end-user machines from legitimate mail server machines
Proceedings of the 8th Annual Collaboration, Electronic messaging, Anti-Abuse and Spam Conference
Empirical comparison of IP reputation databases
Proceedings of the 8th Annual Collaboration, Electronic messaging, Anti-Abuse and Spam Conference
An incentive mechanism to reinforce truthful reports in reputation systems
Journal of Network and Computer Applications
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This paper presents CARE, an autonomous email reputation system based on inter-domain collaboration. Within the framework of CARE, each domain independently builds its reputation database based on both the local email history and the information exchanged with other collaborating domains. CARE examines the trustworthiness of the email histories obtained from collaborators by correlating them with the local email history. To validate the efficacy of CARE, we have analyzed real email logs, conducted a DNS-based estimation experiment, and performed a series of simulations. Our experimental results show that CARE can effectively improve the reliability and performance of email systems.