A SOM+ Diagnostic System for Network Intrusion Detection

• Main Author: Langin, Chester Louis
• Format: Others
• Published: OpenSIUC 2011
• Subjects: 3D Full-Color Self-Organizing Map (SOM); Artificial Immune System Danger Theory (AISDT); Complex Hybridized Soft Computing (SC); Information Security Diagnostic System; Intrusion Detection System (IDS) Mathematics; Network Intrusion Detection Types
• Online Access: https://opensiuc.lib.siu.edu/dissertations/389; https://opensiuc.lib.siu.edu/cgi/viewcontent.cgi?article=1389&context=dissertations

This research created a new theoretical Soft Computing (SC) hybridized network intrusion detection diagnostic system including complex hybridization of a 3D full color Self-Organizing Map (SOM), Artificial Immune System Danger Theory (AISDT), and a Fuzzy Inference System (FIS). This SOM+ diagnostic archetype includes newly defined intrusion types to facilitate diagnostic analysis, a descriptive computational model, and an Invisible Mobile Network Bridge (IMNB) to collect data, while maintaining compatibility with traditional packet analysis. This system is modular, multitaskable, scalable, intuitive, adaptable to quickly changing scenarios, and uses relatively few resources.