The utilization of Artificial Intelligence in a Hybrid Intrusion Detection System
Martin P. Botha, Rossouw von Solms, Kent Perry, Edwin Loubser, George Yamoyany, Port Elizabeth Technikon · 2002
Computer security, and intrusion detection in particular, have become increasingly important in today’s business environment, to ensure safe and trusted commerce between business partners as well as effective organisational functioning. Various approaches to intrusion detection are currently being utilized, but unfortunately in practice these approaches are relatively ineffective and inefficient. New means and ways that will minimize these shortcomings must, therefore, continuously be researched and defined. This paper will propose a proactive and dynamic model, based on trend analysis, fuzzy logic and neural networks that could be utilized to minimise and control intrusion in an organisation’s computer system.