Title :
A new model of self-adaptive network intrusion detection
Author :
Qing-hua, Zhang ; Yu-zhen Fu ; Bu-gong Xu
Author_Institution :
Coll. of Electron. Inf. & Comput., Maoming Univ., Maoming
Abstract :
A new model of self-adaptive network intrusion detection based on negative selection algorithm is presented to tackle the problem of self continuously changeable in network intrusion detection. The evolvement of self is fully expounded; a new method that generates and evolves detectors is put forward, which can update automatically to keep synchronization with self. The result shows that the model has the properties of self-adaptability & dynamics, and can identify the intrusion effectively.
Keywords :
computer networks; evolutionary computation; security of data; negative selection algorithm; self-adaptive network intrusion detection; Evolutionary computation; Intrusion detection; Self-adaptive; artificial immune; intrusion detection; negative selection algorism;
Conference_Titel :
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1822-0
Electronic_ISBN :
978-1-4244-1823-7
DOI :
10.1109/CEC.2008.4630834
