Facebook immune system

Proceedings of the 4th Workshop on Social Network Systems, SNS'11

Volumn , Issue , 2011, Pages

  Stein, Tao ^a   Chen, Erdong ^a   Mangla, Karan ^a  

^a FACEBOOK   (United States)

Author keywords

adversarial learning; machine learning; security; social network security

Indexed keywords

ADVERSARIAL LEARNING; BOTNETS; EXTREME SCALE; FACEBOOK; FRAUDSTERS; IMMUNE SYSTEMS; MACHINE-LEARNING; PHISHERS; REAL TIME; SECURITY; SKILLED LABOR; SOCIAL GRAPHS; SOCIAL NETWORKS; SPAMMERS; USER INFORMATION;

COMPUTER CRIME; INTERNET; NETWORK SECURITY; SOCIAL NETWORKING (ONLINE); TELECOMMUNICATION NETWORKS;

IMMUNOLOGY;

EID: 79959891780     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1989656.1989664     Document Type: Conference Paper

References (10)

1. E. Blanzieri and A. Bryl. A survey of learning-based techniques of email spam filtering. Artif. Intell. Rev., 29:63-92, March 2008.
2. X. Carreras and L. Márquez. Boosting trees for anti-spam email filtering. In Proceedings of RANLP-01, 4th International Conference on Recent Advances in Natural Language Processing, Tzigov Chark, BG, 2001.
3. N. Dalvi, P. Domingos, Mausam, S. Sanghai, and D. Verma. Adversarial classification. In Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '04, pages 99-108, New York, NY, USA, 2004. ACM.
4. S. Hao, N. A. Syed, N. Feamster, A. G. Gray, and S. Krasser. Detecting spammers with snare: spatio-temporal network-level automatic reputation engine. USENIX Security Symposium, page 101118, 2009.
5. P. Heymann, G. Koutrika, and H. Garcia-Molina. Fighting spam on social web sites: A survey of approaches and future challenges. IEEE Internet Computing, 11:36-45, November 2007. (Pubitemid 350148362)
6. D. Lowd and C. Meek. Adversarial learning. In Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining, KDD '05, pages 641-647, New York, NY, USA, 2005. ACM.
7. J. Ma, L. K. Saul, S. Savage, and G. M. Voelker. Identifying suspicious URLs: an application of large-scale online learning. In Proceedings of the 26th Annual International Conference on Machine Learning, ICML '09, pages 681-688, New York, NY, USA, 2009. ACM.
8. K. Thomas and D. M. Nicol. The Koobface botnet and the rise of social malware. In Proceedings of the 5th International Conference on Malicious and Unwanted Software (MALWARE), pages 63-70. IEEE, October 2010.
9. L. von Ahn, M. Blum, N. Hopper, and J. Langford. CAPTCHA: Using hard AI problems for security. In EuroCrypt, 2003.
10. C. Whittaker, B. Ryner, and M. Nazif. Large-scale automatic classification of phishing pages. In NDSS, NDSS '10, 2010.