Immunity-based Method for Anti-Spam Model

被引:0
作者
Yang, Jin [1 ]
Liu, Yi [1 ]
Li, Qin [1 ]
机构
[1] LeShan Normal Univ, Dept Comp Sci, Leshan 614004, Peoples R China
来源
NSWCTC 2009: INTERNATIONAL CONFERENCE ON NETWORKS SECURITY, WIRELESS COMMUNICATIONS AND TRUSTED COMPUTING, VOL 1, PROCEEDINGS | 2009年
关键词
spam; artificial immune systems; anti-spam system;
D O I
10.1109/NSWCTC.2009.328
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Widespread information technique use has led to the emergence of email networks large-scale applications networks in cyberspace. But the traditional spam solutions for anti-spam are mostly static methods, and the means of adaptive and real time analyses the mail are seldom considered. Inspired by the theory of artificial immune systems (AIS), a novel distributed anti-spam model that leverages e-mail networks' topological properties is presented. The concepts and formal definitions of immune cells are given, and dynamically evaluative equations for self, antigen, immune tolerance, mature-lymphocyte lifecycle are presented, and the hierarchical and distributed management framework of the proposed model are built. The experimental results show that the proposed model has the features of real-time processing and more efficient than client-server-based solutions, thus providing a promising solution for anti-spam system.
引用
收藏
页码:171 / 174
页数:4
相关论文
共 12 条
[1]  
[Anonymous], P IEEE S RES SEC PRI
[2]  
[Anonymous], ASIAN LANGUAGE INFOR, DOI DOI 10.1145/1039621.1039625
[3]  
ARTINHERRAN G, 2008, AUTOMATICA, V44, P361
[4]  
BURNET FM, 1959, CLONE SELECTION THEO
[5]  
DAMBRA D, 2007, INF PROF 4, V28
[6]   On the effects of stock spam e-mails [J].
Hanke, Michael ;
Hauser, Florian .
JOURNAL OF FINANCIAL MARKETS, 2008, 11 (01) :57-83
[7]  
KEPLER TB, 1993, THEORET BIOL, P37
[8]  
Kim J., 1999, 7 EUR C INT TECHN SO
[9]  
LI T, 2004, INTRO COMPUTER NETWO
[10]  
MARSONO MN, 2008, IET COMPUT DIGIT TEC, V56