Clonal vs. Negative Selection in Artificial Immune Systems (AIS)

نویسندگان

  • Marcellus Williams
  • Moayed Daniel Daneshyari
چکیده

In this paper, we review the bio-inspired Artificial Immune System (AIS) using two detection and selection mechanism known as negative selection and clonal selections. AIS mimic the behavior of natural immune system to find the unknown pattern that have not been seen by the system similar to what bodies would do in facing the microbial entities. We simulate the behavior of negative selection and clonal selection and compare them with each other to see the benefit of each one. Our goal is to design a system that can be utilized as an Intrusion Detection (ID) tool in networking security paradigms. General Terms Algorithms, Design, Security

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تاریخ انتشار 2016