Title :
Information security: Artificial immune detectors in neural networks
Author :
Fatima, Huda ; Al-Turki, Saleh Mohammed ; Pradhan, Sateesh Kumar ; Dash, G.N.
Author_Institution :
Coll. of Comput. Sci. & Inf. Syst., Jazan Univ., Jazan, Saudi Arabia
Abstract :
In today´s competitive world, computer security is at enormous demand due to tremendous amount of network attacks. These types of threats are significantly affecting the architectures of the network by gaining unauthorized access to the computer networks. The Information Security is therefore necessitates the decrease of such attacks. In this paper, a proposal has been laid down for establishing and analyzing an artificial immune neural network for securing the network architecture.
Keywords :
artificial immune systems; authorisation; neural net architecture; artificial immune detectors; computer security; information security; network attacks; neural network architectures; unauthorized computer network access; Computer architecture; Computer science; Detectors; Immune system; Intrusion detection; Neural networks; Artificial Immune Networks; Information Security; Neural Networks;
Conference_Titel :
Web Applications and Networking (WSWAN), 2015 2nd World Symposium on
Conference_Location :
Sousse
Print_ISBN :
978-1-4799-8171-7
DOI :
10.1109/WSWAN.2015.7210300