Intrusion Detection Based on the Immune Human System

نویسندگان

  • Kathia Regina L. Jucá
  • Azzedine Boukerche
  • João Bosco M. Sobral
چکیده

In recent year, we have seen a growing interest in computational methods based upon natural phenomena with biologically inspired techniques, such as cellular automata, immune human systems, neural networks, DNA and molecular computing. Some of these solution techniques are classified under the realm of a general paradigm, called biocomputing. In this paper, we propose a security system for fraud detection of intruders and improper use of computer system operations. Our technique is based upon data analysis inspired by the natural immune human system. This paper shows how immune metaphors can be used efficiently to tackle the computer system security problem.

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تاریخ انتشار 2002