Conserved Self Pattern Recognition Algorithm

Abstract

Abstract. Self-nonself model makes a lot of sense in the mechanisms of self versus nonself recognition in the immune system but it failed to explain a great number of findings. Some new immune theory is proposed to accommodate incompatible new findings, including Pattern Recognition Receptors (PRRs) Model and Danger Theory. Inspired from the PRRs model, a novel approach called Conserved Self Pattern Recognition Algorithm (CSPRA) is proposed in this paper. The algorithm is tested using the famous benchmark Fisher's Iris data. Preliminary results demonstrate that the new approach lowers the false positive and thus enhances the efficiency and reliability for anomaly detection without increase in complexity comparing to the classical Negative Selection Algorithm (NSA).

A Fast Immune Recognition Model based on Immune Response

“…Self/non-self discrimination can be accomplished by pattern recognition with PRRs. However, INS model has inspired few researches [16].…”

An empirical study of Conserved Self Pattern Recognition Algorithm: Comparing to other one-class classifiers and evaluating with random number generators

“…Numerous different variations of NSA are also being proposed in order to tackle the intrinsic limitations of NSA [3]. Conserved Self Pattern Recognition Algorithm (CSPRA) [4] is one of the latest AIS methods inspired by a newer theory of selfnonself discrimination known as Pattern Recognition Receptors (PRRs) model [5]. Preliminary results have suggested that the CSPRA shows promise in assisting in reducing the number of false positive errors.…”

Recent Advances in Artificial Immune Systems: Models and Applications

“…Several other areas of immunology have recently been reported in the literature to inspire the development of algorithms and computational tools, for example, humoral immune response [13], Danger Theory [14], dendritic cell functions [15], and Pattern Recognition Receptor Model [16]. However, these new areas are still immature and under continuous investigation and development.…”

“…Conserved Self Pattern Recognition Algorithm (CSPRA). The Conserved Self Pattern Recognition Algorithm (CSPRA) [16] is one of the latest developed AIS models inspired from Pattern Recognition Receptors (PRRs) Model [110,126]. According to PRRs Model, the self/nonself discrimination requests co-stimulation from APCs but APCs do not co-stimulate unless activated via encoded PRRs that recognize conserved pathogen-associated molecular patterns (PAMPs) on bacteria.…”

“…Self/Nonself Model [109] Negative selection algorithm [6] T Cell Pattern Recognition Receptor Model [110] Conserved self pattern recognition algorithm [16] T Cell, APC, PAMP, signal one, signal two Danger Theory [69] Dendritic cell algorithm [15] and Danger Theory applications [73][74][75] T Cell, APC, tissue, danger zone, signal one, signal two they only focused on optimizing the non-overlapping detectors to obtain the maximal nonself space coverage. To guarantee that for detector center o j , detector j has the maximal possible radius r j without any overlapping with all the N self samples, a genetic algorithm is used for the optimization of o j .…”