• DocumentCode
    1696197
  • 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
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Applications and Networking (WSWAN), 2015 2nd World Symposium on
  • Conference_Location
    Sousse
  • Print_ISBN
    978-1-4799-8171-7
  • Type

    conf

  • DOI
    10.1109/WSWAN.2015.7210300
  • Filename
    7210300