𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Design and analysis of genetic fuzzy systems for intrusion detection in computer networks

✍ Scribed by Mohammad Saniee Abadeh; Hamid Mohamadi; Jafar Habibi

Publisher
Elsevier Science
Year
2011
Tongue
English
Weight
368 KB
Volume
38
Category
Article
ISSN
0957-4174

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

A hybrid intrusion detection system desi
A hybrid intrusion detection system design for computer network security
✍ M. Ali AydΔ±n; A. Halim Zaim; K. GΓΆkhan Ceylan πŸ“‚ Article πŸ“… 2009 πŸ› Elsevier Science 🌐 English βš– 629 KB

Intrusions detection systems (IDSs) are systems that try to detect attacks as they occur or after the attacks took place. IDSs collect network traffic information from some point on the network or computer system and then use this information to secure the network. Intrusion detection systems can be

Merging fuzzy logic, neural networks, an
Merging fuzzy logic, neural networks, and genetic computation in the design of a decision-support system
✍ V. Loia; S. Sessa; A. Staiano; R. Tagliaferri πŸ“‚ Article πŸ“… 2000 πŸ› John Wiley and Sons 🌐 English βš– 160 KB πŸ‘ 2 views

The main goal of evolutionary computation is to provide a near optimal technique between exploration and exploitation of a search space. This approach is based on a genetic ''engine'' that operates the search of the optimal solution via biological-based assumptions. Selection of the optimal maintena