An artificial immune system for phishing detection
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. © 2012 IEEE.
2012 IEEE Congress on Evolutionary Computation, CEC 2012
Fang, X., Koceja, N., Zhan, J., Dozier, G., & Dipankar, D. (2012). An artificial immune system for phishing detection. 2012 IEEE Congress on Evolutionary Computation, CEC 2012 https://doi.org/10.1109/CEC.2012.6256518