The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Filtering spam with behavioral blacklisting
Abstract
Spam filters often use the reputation of an IP address (or IP address range) to classify email senders. This approach worked well when most spam originated from senders with fixed IP addresses, but spam today is also sent from IP addresses for which blacklist maintainers have outdated or inaccurate information (or no information at all). Spam campaigns also involve many senders, reducing the amount of spam any particular IP address sends to a single domain; this method allows spammers to stay "under the radar". The dynamism of any particular IP address begs for blacklisting techniques that automatically adapt as the senders of spam change.
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Citations
Cites
Pricing via processing or combatting junk mail
Dwork, C., & Naor, M. (2007) · Lecture Notes in Computer Science · doi:10.1007/3-540-48071-4_10 · Cited by 1,282
On clusterings: Good, bad and spectral
Kannan, R., Vempala, S., & Vetta, A. (2004) · Journal of the ACM · doi:10.1145/990308.990313 · Cited by 834
Self-citationApproximate counting, uniform generation and rapidly mixing Markov chains
Sinclair, A., & Jerrum, M. (1989) · Information and Computation · doi:10.1016/0890-5401(89)90067-9 · Cited by 735
Understanding the network-level behavior of spammers
Ramachandran, A., & Feamster, N. (2006) · ACM SIGCOMM Computer Communication Review · doi:10.1145/1151659.1159947 · Cited by 510
Self-citationUnderstanding the network-level behavior of spammers
Ramachandran, A., & Feamster, N. (2006) · Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications · doi:10.1145/1159913.1159947 · Cited by 241
Self-citationSpamscatter: characterizing internet scam hosting infrastructure
Anderson, D. S., Fleizach, C., Savage, S., & Voelker, G. M. (2007) · eScholarship (California Digital Library) · Cited by 179
Garriss, S., Kaminsky, M., Freedman, M. J., Karp, B. N., Mazières, D., & Yu, H. (2006) · Networked Systems Design and Implementation · Cited by 131
\Proof-of-Work" Proves Not to Work
Laurie, B., & Clayton, R. (2004) · Cited by 126
A divide-and-merge methodology for clustering
Cheng, D., Kannan, R., Vempala, S., & Wang, G. J. (2006) · ACM Transactions on Database Systems · doi:10.1145/1189769.1189779 · Cited by 116
Self-citationCan DNS›Based Blacklists Keep Up with Bots?
Ramachandran, A., Dagon, D., & Feamster, N. (2006) · Conference on Email and Anti-Spam · Cited by 88
Self-citation
Cited by
Huang, L., Joseph, A. D., Nelson, B., Rubinstein, B. I. P., & Tygar, J. D. (2011) · Proceedings of the 4th ACM workshop on Security and artificial intelligence · doi:10.1145/2046684.2046692 · Cited by 1,194
Suspended accounts in retrospect: an analysis of twitter spam
Thomas, K., Grier, C., Song, D., & Paxson, V. (2011) · Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference · doi:10.1145/2068816.2068840 · Cited by 439
Spamming botnets: signatures and characteristics
Xie, Y., Yu, F., Achan, K., Panigrahy, R., Hulten, G., & Osipkov, I. (2008) · ACM SIGCOMM Computer Communication Review · doi:10.1145/1402946.1402979 · Cited by 339
ANTIDOTE: understanding and defending against poisoning of anomaly detectors
Rubinstein, B. I. P., Nelson, B., Huang, L., Joseph, A. D., Lau, S.-H., Rao, S., Taft, N., & Tygar, J. D. (2009) · Proceedings of the 9th ACM SIGCOMM conference on Internet measurement · doi:10.1145/1644893.1644895 · Cited by 331
Smoke Screener or Straight Shooter: Detecting Elite Sybil Attacks in User-Review Social Networks
Zheng, H., Xue, M., Lu, H., Hao, S., Zhu, H., Liang, X., & Ross, K. (2018) · Proceedings 2018 Network and Distributed System Security Symposium · doi:10.14722/ndss.2018.23009 · Cited by 61
Metadata
- Authors
- Ramachandran, A., Feamster, N., & Vempala, S.
- Venue
- Proceedings of the 14th ACM conference on Computer and communications security
- Publisher
- ACM
- Published
- 2007-10-28
- Pages
- 342-351
- ISSN
- 1543-7221 (ISSN-L)
- OpenAlex
- W2108214308
- Cited by
- 264
- References
- 14
- FWCI
- 17.69
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Ramachandran, A., Feamster, N., & Vempala, S. (2007). Filtering spam with behavioral blacklisting. Proceedings of the 14th ACM conference on Computer and communications security. https://doi.org/10.1145/1315245.1315288
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
