Research on immune pathology in artificial immune system

Authors:
Xuanwu Zhou
Affiliations:
Key Laboratory of Network & Information Security of the APF, Engineering College of the APF, Xi'an, P. R. China
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Year:
2009

Citing 11
Cited 0

A symbiotic evolutionary algorithm for the integration of process planning and job shop scheduling

Computers and Operations Research
Effects of Symbiotic Evolution in Genetic Algorithms for Job-Shop Scheduling

HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 3 - Volume 3
Effective genetic approach for optimizing advanced planning and scheduling in flexible manufacturing system

Proceedings of the 8th annual conference on Genetic and evolutionary computation
Evolutionary Algorithm and Its Application in Artificial Immune System

IITA '08 Proceedings of the 2008 Second International Symposium on Intelligent Information Technology Application - Volume 03
A novel quantum swarm evolutionary algorithm for solving 0-1 knapsack problem

ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
Iterative CDMA Multiuser Receiver With Soft Decision-Directed Channel Estimation

IEEE Transactions on Signal Processing
Generalized Parallel Interference Cancellation With Near-Optimal Detection Performance

IEEE Transactions on Signal Processing
Efficient statistical parallel interference cancellation for DS-CDMA in Rayleigh fading channels

IEEE Transactions on Wireless Communications
Learning and optimization using the clonal selection principle

IEEE Transactions on Evolutionary Computation
Quantum-inspired evolutionary algorithms with a new termination criterion, Hε gate, and two-phase scheme

IEEE Transactions on Evolutionary Computation
Genetically modified multiuser detection for code division multiple access systems

IEEE Journal on Selected Areas in Communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

Artificial immune system (AIS) mimicks the superior properties of biological immune system and provides an effective method in intelligent computing and intelligent system designing. But the disease-causing mechanisms of immune pathology have led to sever security problems in artificial immune system. In the paper, we analyzed the basic principles of immune protection and immune pathology of biological system considering its application in artificial immune system. Then we take artificial immune defending system as an example to analyze the cause and potential influence of immune pathology on AIS. As to the different security problems from immunodeficiency, hypersensitivity and autoimmunity, we put forward corresponding measures to reinforce the security, robustness and stability of artificial immune system and thus effectively avoid these problems.