Design of a Dendritic Cells inspired Model Based on Danger Theory for Intrusion Detection System

The research into intrusion detection system (IDS) based on immunology has shifted from the negative selection algorithm to a novel concept, the danger theory (DT). Dendritic cells (DCs) are professional antigen presenting cells in innate immunity that perform the central role of sensing infection situation and coordinating T cells behavior. DCs play an integral part in incorporation of DT into responsive IDSs. To illustrate how the functionality and control mechanism of DCs can be harnessed to solve real network traffic problems, the DCs inspired model (DCML) for intrusion detection is presented. Introducing interaction between DCs and memory T cells to sense danger is a highlight notion in DCML. Additionally, using multiplicity of signals for input into the final decision increases robustness and effectiveness of IDS.