Host Based Intrusion Detection and Prevention Model Against DDoS Attack in Cloud Computing
Cloud computing has become an innovative technology. Recent advances in hardware and software have put tremendous pressure on administrators, who manage these resources to provide an uninterrupted service. System administrators should be familiar with cloud-server monitoring and network tools. The m...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Book Chapter |
| Language: | en |
| Published: |
Springer, Cham
2018
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/19006/1/fskkp-2018-jaber-Host%20Based%20Intrusion%20Detect1.pdf http://umpir.ump.edu.my/id/eprint/19006/ https://doi.org/10.1007/978-3-319-69835-9_23 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1831525084758540288 |
|---|---|
| author | Jaber, Aws Naser Mohamad Fadli, Zolkipli Shakir, Hasan Awni |
| author_facet | Jaber, Aws Naser Mohamad Fadli, Zolkipli Shakir, Hasan Awni |
| author_sort | Jaber, Aws Naser |
| building | UMPSA Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaysia Pahang Al-Sultan Abdullah |
| content_source | UMPSA Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Cloud computing has become an innovative technology. Recent advances in hardware and software have put tremendous pressure on administrators, who manage these resources to provide an uninterrupted service. System administrators should be familiar with cloud-server monitoring and network tools. The main focus of the present research is the design of a model that prevents distributed denial-of-service attacks based on host-based intrusion detection protection systems over hypervisor environments. The prevention model uses principal component analysis and linear discriminant analysis with a hybrid, nature-inspired metaheuristic algorithm called Ant Lion optimisation for feature selection and artificial neural networks to classify and configure the cloud server. The current results represent a feasible outcome for a good intrusion detection and prevention framework for DDoS-cloud computing systems based on statistics and predicted techniques. |
| format | Book Chapter |
| id | my.ump.umpir.19006 |
| institution | Universiti Malaysia Pahang |
| language | en |
| publishDate | 2018 |
| publisher | Springer, Cham |
| record_format | eprints |
| spelling | my.ump.umpir.190062017-11-09T04:45:42Z http://umpir.ump.edu.my/id/eprint/19006/ Host Based Intrusion Detection and Prevention Model Against DDoS Attack in Cloud Computing Jaber, Aws Naser Mohamad Fadli, Zolkipli Shakir, Hasan Awni QA75 Electronic computers. Computer science Cloud computing has become an innovative technology. Recent advances in hardware and software have put tremendous pressure on administrators, who manage these resources to provide an uninterrupted service. System administrators should be familiar with cloud-server monitoring and network tools. The main focus of the present research is the design of a model that prevents distributed denial-of-service attacks based on host-based intrusion detection protection systems over hypervisor environments. The prevention model uses principal component analysis and linear discriminant analysis with a hybrid, nature-inspired metaheuristic algorithm called Ant Lion optimisation for feature selection and artificial neural networks to classify and configure the cloud server. The current results represent a feasible outcome for a good intrusion detection and prevention framework for DDoS-cloud computing systems based on statistics and predicted techniques. Springer, Cham 2018 Book Chapter PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/19006/1/fskkp-2018-jaber-Host%20Based%20Intrusion%20Detect1.pdf Jaber, Aws Naser and Mohamad Fadli, Zolkipli and Shakir, Hasan Awni (2018) Host Based Intrusion Detection and Prevention Model Against DDoS Attack in Cloud Computing. In: Advances on P2P, Parallel, Grid, Cloud and Internet Computing: Proceedings of the 12th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC-2017). Lecture Notes on Data Engineering and Communications Technologies, 13 . Springer, Cham, Switzerland, pp. 241-252. ISBN 978-3-319-69835-9 https://doi.org/10.1007/978-3-319-69835-9_23 doi: 10.1007/978-3-319-69835-9_23 |
| spellingShingle | QA75 Electronic computers. Computer science Jaber, Aws Naser Mohamad Fadli, Zolkipli Shakir, Hasan Awni Host Based Intrusion Detection and Prevention Model Against DDoS Attack in Cloud Computing |
| title | Host Based Intrusion Detection and Prevention Model Against DDoS Attack in Cloud Computing |
| title_full | Host Based Intrusion Detection and Prevention Model Against DDoS Attack in Cloud Computing |
| title_fullStr | Host Based Intrusion Detection and Prevention Model Against DDoS Attack in Cloud Computing |
| title_full_unstemmed | Host Based Intrusion Detection and Prevention Model Against DDoS Attack in Cloud Computing |
| title_short | Host Based Intrusion Detection and Prevention Model Against DDoS Attack in Cloud Computing |
| title_sort | host based intrusion detection and prevention model against ddos attack in cloud computing |
| topic | QA75 Electronic computers. Computer science |
| url | http://umpir.ump.edu.my/id/eprint/19006/1/fskkp-2018-jaber-Host%20Based%20Intrusion%20Detect1.pdf http://umpir.ump.edu.my/id/eprint/19006/ https://doi.org/10.1007/978-3-319-69835-9_23 |
| url_provider | http://umpir.ump.edu.my/ |