A SOM+ Diagnostic System for Network Intrusion Detection

<p>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.</p>

Name thesis:degree_name

Doctor of Philosophy

Level thesis:degree_level

Open Access Dissertation

Discipline thesis:degree_discipline

Computer Science

Year dc:date.available

2011

Author dc:creator

• Langin, Chester Louis

Contributors dc:contributor

• Rahimi, Shahram

• 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

Repository record dc:identifier

https://opensiuc.lib.siu.edu/dissertations/389

OAI identifier oai:identifier

oai:opensiuc.lib.siu.edu:dissertations-1389