Collaborative spam filtering using e-mail networks

被引:36
|
作者
Kong, Joseph S. [1 ]
Rezaei, Behnam A.
Sarshar, Nima
Roychowdhury, Vwani P.
Boykin, P. Oscar
机构
[1] Univ Calif Los Angeles, Dept Elect Engn, Los Angeles, CA 90024 USA
[2] McMaster Univ, Dept Elect & Comp Engn, Hamilton, ON, Canada
[3] Univ Florida, Dept Elect & Comp Engn, Gainesville, FL 32611 USA
基金
美国国家科学基金会;
关键词
Client server computer systems - Computer simulation - Data handling - Data privacy - Indexing (of information) - Spamming;
D O I
10.1109/MC.2006.257
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
A distributed spam-filtering system that leverages e-mail networks' topological properties is more efficient and scalable than client-server-based solutions. Large-scale simulations of a prototype system reveal that this approach achieves a near-perfect spam-detection rate while minimizing bandwidth cost.
引用
收藏
页码:67 / +
页数:8
相关论文
共 50 条
  • [21] An efficient method for filtering image-based spam e-mail
    Nhung, Ngo Phuong
    Phuong, Tu Minh
    COMPUTER ANALYSIS OF IMAGES AND PATTERNS, PROCEEDINGS, 2007, 4673 : 945 - 953
  • [22] Thwarting E-mail Spam Laundering
    Xie, Mengjun
    Yin, Heng
    Wang, Haining
    ACM TRANSACTIONS ON INFORMATION AND SYSTEM SECURITY, 2008, 12 (02)
  • [23] Time-efficient spam e-mail filtering using n-gram models
    Ciltik, Ali
    Gungor, Tunga
    PATTERN RECOGNITION LETTERS, 2008, 29 (01) : 19 - 33
  • [24] E-mail Spam Filtering using Genetic Algorithm based on Probabilistic Weights and Words Count
    Bhattacharya, Pronaya
    Singh, Arunendra
    INTERNATIONAL JOURNAL OF INTEGRATED ENGINEERING, 2020, 12 (01): : 40 - 49
  • [25] A collaborative and multi-agent approach to e-mail filtering
    Lazzari, L
    Mari, M
    Poggi, A
    2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, Proceedings, 2005, : 238 - 241
  • [26] The Research and Implementation of Spam E-mail Filtering Based on Improved Bayesian Algorithm
    Zhang, Sifa
    Zuo, Fengmei
    PROGRESS IN INTELLIGENCE COMPUTATION AND APPLICATIONS, 2008, : 132 - 135
  • [27] A Survey and Evaluation of Supervised Machine Learning Techniques for Spam E-Mail Filtering
    Vyas, Tarjani
    Prajapati, Payal
    Gadhwal, Somil
    2015 IEEE INTERNATIONAL CONFERENCE ON ELECTRICAL, COMPUTER AND COMMUNICATION TECHNOLOGIES, 2015,
  • [28] An ensemble design approach based on bagging technique for filtering e-mail spam
    Roy S.S.
    Viswanatham V.M.
    Krishna P.V.
    Roy, Sanjiban Sekhar (s.roy@vit.ac.in), 1600, Inderscience Enterprises Ltd., 29, route de Pre-Bois, Case Postale 856, CH-1215 Geneva 15, CH-1215, Switzerland (10): : 247 - 260
  • [29] Cosdes: A Collaborative Spam Detection System with a Novel E-Mail Abstraction Scheme
    Tseng, Chi-Yao
    Sung, Pin-Chieh
    Chen, Ming-Syan
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2011, 23 (05) : 669 - 682
  • [30] E-mail marketing at the crossroads - A stakeholder analysis of unsolicited commercial e-mail (spam)
    Moustakas, E
    Ranganathan, C
    Duquenoy, P
    INTERNET RESEARCH, 2006, 16 (01) : 38 - 52