Title :
Detector generation algorithm for self-nonself detection in Artificial Immune System
Author :
Goswami, Mridul ; Bhattacharjee, Anirban
Author_Institution :
Dept. of Electron. & Commun. Eng., Nat. Inst. of Technol., Agartala, Agartala, India
Abstract :
In this paper a new algorithm for detector generation for self-nonself detection in Artificial Immune System is presented. The algorithm is inspired from the Negative Selection process of T cell maturation process in Biological Immune System. This algorithm is applicable where data are represented in the form of strings. R-chunk matching rule is used while checking two strings whether match or not. The algorithm is analyzed and compared with other relevant existing algorithms for detector generation.
Keywords :
artificial immune systems; security of data; string matching; R-chunk matching rule; T cell maturation process; artificial immune system; biological immune system; detector generation algorithm; negative selection process; self-nonself detection; string matching; Arrays; Bellows; Conferences; Convergence; Detectors; Immune system; Artificial Immune System; Negative Selection; R-Chunk Matching Rule; Self-Nonself Detection; String Representation of Data;
Conference_Titel :
Convergence of Technology (I2CT), 2014 International Conference for
Print_ISBN :
978-1-4799-3758-5
DOI :
10.1109/I2CT.2014.7092107
