TY - JFULL AU - Anjum Iqbal and Mohd Aizaini Maarof PY - 2007/4/ TI - Danger Theory and Intelligent Data Processing T2 - International Journal of Computer and Information Engineering SP - 785 EP - 789 VL - 1 SN - 1307-6892 UR - https://publications.waset.org/pdf/14421 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 3, 2007 N2 - Artificial Immune System (AIS) is relatively naive paradigm for intelligent computations. The inspiration for AIS is derived from natural Immune System (IS). Classically it is believed that IS strives to discriminate between self and non-self. Most of the existing AIS research is based on this approach. Danger Theory (DT) argues this approach and proposes that IS fights against danger producing elements and tolerates others. We, the computational researchers, are not concerned with the arguments among immunologists but try to extract from it novel abstractions for intelligent computation. This paper aims to follow DT inspiration for intelligent data processing. The approach may introduce new avenue in intelligent processing. The data used is system calls data that is potentially significant in intrusion detection applications. ER -