Title :
Hybrid conceptual framework for artificial immune system
Author :
Ahmed, Muna Elsadig Mohamed
Author_Institution :
Dept. of Inf. Technol., Coll. of Comput. Sci. - Bahri Univ., Khartoum, Sudan
Abstract :
Artificial Immune System (AIS) has been built for a wide range of applications with successful implementation. The bio-inspired systems are best developed and analyzed in the context of a multidisciplinary conceptual framework that provides sophisticated biological models and well-founded analytical principles. In this work, conceptual frameworks for AIS and layered framework for engineering AIS are integrated to introduce a new hybrid conceptual framework to develop AIS systems. The developed framework is used to develop an application for biological inspired intrusion prevention and self healing system and efficient results are achieved.
Keywords :
artificial immune systems; artificial intelligence; fault tolerant computing; security of data; AIS; artificial immune system; bioinspired systems; biological inspired intrusion prevention; hybrid conceptual framework; multidisciplinary conceptual framework; self healing system; sophisticated biological models; well-founded analytical principles; Abstracts; Analytical models; Biological system modeling; Computational modeling; Immune system; Mathematical model; Artificial Immune System; Artificial Intelligent;
Conference_Titel :
Computing, Electrical and Electronics Engineering (ICCEEE), 2013 International Conference on
Conference_Location :
Khartoum
Print_ISBN :
978-1-4673-6231-3
DOI :
10.1109/ICCEEE.2013.6633942
