Artificial Immune Algorithm In The Anti-spam Technology

Artificial immune system is the emerging field of computational intelligence research, its applications include Industrial Control, Pattern Recognition, economic management, computer network security, anti-spam, etc.. In recent years, Artificial Immune System which is inherited from the biological immunity, has developed it's characteristics, and superior to other smart systems. It has shown the natural advantage of the combination of the technologies of the embodied artificial immune and anti-spam. Artificial immune principle and it's application to e-mail filtering algorithm technology can provide more extensive chance than the traditional method, for instance, diversity, pattern recognition capability, adaptability and the capacity of noise defence. Artificial immune algorithm gradually become hot spots in anti-spam technology.Based on artificial immune system theory and algorithms's study, this paper will explore AIS and immune algorithm in the anti-spam technology applications. First, anti-spam technology and artificial immune system principle summarized, then the e-mail's basic theory, artificial immune biology background and the traditional anti-spam technology for a brief introduction. To introduce a client of spam filtering system as a platform, deeply research the design principle of artificial immune spam filters, and detailed study and analysis the artificial immune and IP-ISF algorithm in which the application uesd into. And further study of artificial immune algorithm improvements, through improved with the realization of the test results to improve the effectiveness of verification algorithm. Finally, present the proposed algorithm based on artificial immune Outlook client spam filtering plug-in's design. In this paper, through the application of research results, artificial immune algorithm in other application areas, such as SMS spam filters provide reference.This study focused on artificial immune algorithm in the spam filters and the application that is based on artificial immune filters principle. The most important part is the design and implementation of immune algorithm and IP-ISF, which is a detailed analysis e-mail community algorithm, in the application of the Anti-spam system. Based on artificial immune's principle, the experimental results are compared and analyzed with many other methods. In this study provide a good way to, for dynamic data environment correct detection rate's stability, enhance the evolution of the rules of the new generation Detection efficiently, thereby enhancing the stability of accurate identification. Corpus tested on the platform mentioned before. And the work in this paper is a good case for other compuer applications.