An Integrated Approach Using Self Organizing Maps And Fuzzy Cognitive Maps For Network Intrusion Detection
The basic function of anomaly-based sensors is to detect any deviation from normal system behavior. However, clear merits between normal and abnormal patterns are very difficult to realize in practice especially when new systems are added or removed from the system network dynamically. A typica...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2009
|
| Subjects: | |
| Online Access: | http://eprints.usm.my/53043/1/tesis%20an%20integrated%20approach%20using%20self%20cut.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
my-usm-ep.53043 |
|---|---|
| record_format |
uketd_dc |
| spelling |
my-usm-ep.530432022-06-24T07:59:42Z An Integrated Approach Using Self Organizing Maps And Fuzzy Cognitive Maps For Network Intrusion Detection 2009-06 Jazzar, Mahmoud QR1-502 Microbiology The basic function of anomaly-based sensors is to detect any deviation from normal system behavior. However, clear merits between normal and abnormal patterns are very difficult to realize in practice especially when new systems are added or removed from the system network dynamically. A typical problem that arises when deploying intrusion detection sensors is their affinities of producing high rate of false alerts. Thus, it needs huge analysis efforts and time consuming odd jobs at higher levels, The main purpose 0fthis thesis is to propose a new soft computing inference engine model for intrusion detection. In this study, we have investigated an approach to anomaly intrusion detection based on causal knowledge reasoning. The approach is anomaly-based and utilizes causal knowledge inference based fuzzy cognitive maps (FCM) and self organizing maps (SOM). 2009-06 Thesis http://eprints.usm.my/53043/ http://eprints.usm.my/53043/1/tesis%20an%20integrated%20approach%20using%20self%20cut.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Komputer |
| institution |
Universiti Sains Malaysia |
| collection |
USM Institutional Repository |
| language |
English |
| topic |
QR1-502 Microbiology |
| spellingShingle |
QR1-502 Microbiology Jazzar, Mahmoud An Integrated Approach Using Self Organizing Maps And Fuzzy Cognitive Maps For Network Intrusion Detection |
| description |
The basic function of anomaly-based sensors is to detect any deviation from
normal system behavior. However, clear merits between normal and abnormal
patterns are very difficult to realize in practice especially when new systems are
added or removed from the system network dynamically.
A typical problem that arises when deploying intrusion detection sensors is
their affinities of producing high rate of false alerts. Thus, it needs huge analysis
efforts and time consuming odd jobs at higher levels, The main purpose 0fthis thesis
is to propose a new soft computing inference engine model for intrusion detection. In
this study, we have investigated an approach to anomaly intrusion detection based on
causal knowledge reasoning. The approach is anomaly-based and utilizes causal
knowledge inference based fuzzy cognitive maps (FCM) and self organizing maps
(SOM). |
| format |
Thesis |
| qualification_name |
Doctor of Philosophy (PhD.) |
| qualification_level |
Doctorate |
| author |
Jazzar, Mahmoud |
| author_facet |
Jazzar, Mahmoud |
| author_sort |
Jazzar, Mahmoud |
| title |
An Integrated Approach Using Self
Organizing Maps And Fuzzy Cognitive
Maps For Network Intrusion Detection |
| title_short |
An Integrated Approach Using Self
Organizing Maps And Fuzzy Cognitive
Maps For Network Intrusion Detection |
| title_full |
An Integrated Approach Using Self
Organizing Maps And Fuzzy Cognitive
Maps For Network Intrusion Detection |
| title_fullStr |
An Integrated Approach Using Self
Organizing Maps And Fuzzy Cognitive
Maps For Network Intrusion Detection |
| title_full_unstemmed |
An Integrated Approach Using Self
Organizing Maps And Fuzzy Cognitive
Maps For Network Intrusion Detection |
| title_sort |
integrated approach using self
organizing maps and fuzzy cognitive
maps for network intrusion detection |
| granting_institution |
Universiti Sains Malaysia |
| granting_department |
Pusat Pengajian Sains Komputer |
| publishDate |
2009 |
| url |
http://eprints.usm.my/53043/1/tesis%20an%20integrated%20approach%20using%20self%20cut.pdf |
| _version_ |
1747822219678973952 |