Leveraging social networks to fight spam

Computer

Volumn 38, Issue 4, 2005, Pages 61-68

  Boykin, P Oscar ^a   Roychowdhury, Vwani P ^b  

^a UNIVERSITY OF FLORIDA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER PRIVACY; CRYPTOGRAPHY; DATA STRUCTURES; ELECTRONIC MAIL; GRAPH THEORY; INTERNET; NETWORK PROTOCOLS; PERSONAL COMMUNICATION SYSTEMS; SPAMMING; TELECOMMUNICATION NETWORKS;

ANTISPAM; CRYPTOGRAPHIC WHITE LISTS; PERSONAL E-MAIL NETWORKS; SOCIAL NETWORKS; SPAM COMPONENT FORMATION; SPAM FILTERING ALGORITHM;

DATA COMMUNICATION SYSTEMS;

EID: 18244405757     PISSN: 00189162     EISSN: None     Source Type: Trade Journal    
DOI: 10.1109/MC.2005.132     Document Type: Article

References (12)

1. D. Fallows, Spam: How It Is Hurting E-Mail and Degrading Life on the Internet, tech. report, Pew Internet and American Life Project, Oct. 2003; http://www.pewinternet.org/reports/toc.asp?Report=102.
2. M.E.J. Newman, S. Forrest, and J. Balthrop, "E-Mail Networks and the Spread of Computer Viruses," Physical Rev. E, vol. 66, no. 035101, 2002.
3. J.R. Tyler, D.M. Wilkinson, and B.A. Huberman, "E-Mail as Spectroscopy: Automated Discovery of Community Structure within Organizations," preprint, http://xxx.lanl.gov/abs/cond-mat/0303264.
4. H. Ebel, L.-I. Mielsch, and S. Bornholdt, "Scale-Free Topology of E-Mail Networks," Physical Rev. E, vol. 66, no. 035103, 2002.
5. G. Caldarelli, F. Coccetti, and P.D.L. Rios, "Preferential Exchange: Strengthening Connections in Complex Networks," Physical Rev. E, vol. 70, no. 027102, 2004.
6. M.E.J. Newman and J. Park, "Why Social Networks Are Different from Other Types of Networks," Physical Rev. E., vol. 68, no. 036122, 2003.
7. M.E.J. Newman, "Assortative Mixing in Networks," Physical Rev. Letters, vol. 89, no. 208701, 2002.
8. M.E.J. Newman and M. Girvan, "Finding and Evaluating Community Structure in Networks," Physical Rev. E, vol. 69, no. 026114, 2004.
9. M.E.J. Newman, "Fast Algorithm for Detecting Community Structure in Networks," Physical Rev. E, vol. 69, no. 066133, 2004.
10. W.S. Yerazunis, "Sparse Binary Polynomial Hashing and the CRM114 Discriminator," presented at the MIT Spam Conf., 2003; http://crm114.sourceforge.net/CRM114_paper.html.
11. M. Sahami et al., "A Bayesian Approach to Filtering Junk E-Mail," Learning for Text Categorization: Papers from the 1998 Workshop, AAAI tech. report WS-98-05, AAAI Press, 1998.
12. D. Heckerman, "A Tutorial on Learning with Bayesian Networks," Learning in Graphical Models, M. Jordan, ed., MIT Press, 1998.