An artificial sequential immune responses model for anomaly detection

Abstract

Self-non-self discrimination and danger theory have long been the fundamental model of modern theoretical immunology. Based on these principles, some effective and efficient artificial immune algorithms have been proposed and applied to a wide range of engineering applications. Over the past years, a new idea called sequential immune responses (SIR) has been developed to challenge the classical negative selection model and danger theory. In this conceptual paper, we look at SIR from the perspective of artificial immune system (AIS) practitioners. An overview of the SIR is presented with particular emphasis on analogies in the AIS world. A number of potential application areas are then used to provide a framing for a critical assessment of the concept, and its relevance for AIS. CCS CONCEPTS • Security and privacy → Artificial immune systems;

A Bio-Inspired Reaction Against Cyberattacks: AIS-Powered Optimal Countermeasures Selection

“…As the immune system is able to recognize and fight against foreign and potentially harmful entities to protect the human body, the AIS try to shield the monitored assets from possibly dangerous anomalies [13]. In this direction, AIS have been successfully applied to solve security-related challenges in the field of anomaly detection, intrusion detection, scan, and flood detection, among others [14]. Surprisingly, AIS capabilities have not been thoroughly investigated when it comes to selecting the optimal reaction to fire against appearing threats.…”