DocumentCode :
2821668
Title :
An artificial immune system for phishing detection
Author :
Xing Fang ; Koceja, Nicholas ; Zhan, Junpeng ; Dozier, Gerry ; Dipankar, D.
Author_Institution :
Dept. of Comput. Sci., North Carolina A&T State Univ., Greensboro, NC, USA
fYear :
2012
fDate :
10-15 June 2012
Firstpage :
1
Lastpage :
7
Abstract :
The amazing nature of biological immune systems on protecting humans from pathogens inspired people to develop artificial immune systems. Designed to simulate the functionalities of biological immune systems, artificial immune systems are suggested to be mainly applied in the domain of computer security. In this paper, we propose an artificial immune system for phishing detection. The system is to detect phishing emails through memory detectors and mature detectors. The memory detectors are generated from the training data set, which, in turn, contains the phishing emails previously seen by the system. The immature detectors are reproduced through the system´s mutation process. To the best of our knowledge, this is the first time such a system is ever proposed. We believe that the system is more adaptive than any other existing phishing detection techniques.
Keywords :
artificial immune systems; security of data; unsolicited e-mail; artificial immune system; biological immune systems; computer security; human protection; immature detectors; mature detectors; memory detectors; pathogens; phishing detection techniques; phishing email detection; Adaptive systems; Detectors; Electronic mail; Fires; Immune system; Pathogens; artificial immune system; immature detector; memory detector; phishing detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation (CEC), 2012 IEEE Congress on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4673-1510-4
Electronic_ISBN :
978-1-4673-1508-1
Type :
conf
DOI :
10.1109/CEC.2012.6256518
Filename :
6256518
Link To Document :
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