Email archive analysis through graphical visualization

VizSEC/DMSEC '04: Proceedings of the 2004 ACM Workshop on Visualization and Data Mining for Computer Security

Volumn , Issue , 2004, Pages 128-132

  Li, Wei Jen ^a   Hershkop, Shlomo ^a   Stolfo, Salvatore J ^a  

^a Och Spine at New York Presbyterian Hospitals   (United States)

Author keywords

Email; Spam; Virus

Indexed keywords

ALGORITHMS; COMPUTER VIRUSES; GRAPHIC METHODS; GRAPHICAL USER INTERFACES; MATHEMATICAL MODELS; SPAMMING; STATISTICAL METHODS; VISUALIZATION;

COMMUNICATION PATTERNS; EMAIL MESSAGES; EMAIL MINING TOOLKIT (EMT); SPAM;

ELECTRONIC MAIL;

EID: 20444491277     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1029208.1029229     Document Type: Conference Paper

References (4)

1. Manasi Bhattacharyya, Shlomo Hershkop, Eleazar Eskin, and Salvatore J. Stolfo. MET: An Experimental System for Malicious Email Tracking. In Proceedings of the 2002 New Security Paradigms Workshop (NSPW-2002). Virginia Beach, VA: September 23rd - 26th, 2002.
2. C. Bron, and J. Kerbosch. 1973. Finding all cliques of an undirected graph. Comm. ACM 16(9), pp. 575-577.
3. Salvatore J. Stolfo, Wei-Jen Li, Shlomo Hershkop, Ke Wang, Chia-Wei Hu, Olivier Nimeskern, Detecting Viral Propagations Using Email Behavior Profiles, ACM Transactions on Internet Technology (TOIT), May 2004.
4. Damashek, Gauging similarity with n-grams: language independent categorization of text. Science.