Detecting spam web pages through content analysis
Proceedings of the 15th international conference on World Wide Web
Spamalytics: an empirical analysis of spam marketing conversion
Proceedings of the 15th ACM conference on Computer and communications security
Detecting spam blogs: a machine learning approach
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Spamcraft: an inside look at spam campaign orchestration
LEET'09 Proceedings of the 2nd USENIX conference on Large-scale exploits and emergent threats: botnets, spyware, worms, and more
Mitigating network denial-of-service through diversity-based traffic management
ACNS'05 Proceedings of the Third international conference on Applied Cryptography and Network Security
Reclaiming the blogosphere, talkback: a secure linkback protocol for weblogs
ESORICS'11 Proceedings of the 16th European conference on Research in computer security
SEC'13 Proceedings of the 22nd USENIX conference on Security
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Contemporary blogs receive comments and TrackBacks, which result in cross-references between blogs. We conducted a longitudinal study of TrackBack spam, collecting and analyzing almost 10 million samples from a massive spam campaign over a one-year period. Unlike common delivery of email spam, the spammers did not use bots, but took advantage of an official Chinese site as a relay. Based on our analysis of TrackBack misuse found in the wild, we propose an authenticated TrackBack mechanism that defends against TrackBack spam even if attackers use a very large number of different source addresses and generate unique URLs for each TrackBack blog.