A new hybrid teaching learning based optimization -extreme learning machine model based intrusion-detection system

Currently, effective Intrusion-detection systems (IDS) still represent one of the important security tools. However, hybrid models based on the IDS achieve better results compared with intrusion detection based on a single algorithm. But even so, the hybrid models based on traditional algorithms sti...

Full description

Bibliographic Details
Main Authors: Alsudani, Mustafa Qahtan, Abbdal Reflish, Salah, Moorthy, Kohbalan, Adnan, Myasar Mundher
Format: Article
Language:English
English
Published: Elsevier Ltd 2023
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/40450/1/A%20new%20hybrid%20teaching%20learning%20based%20optimization%20-extreme.pdf
http://umpir.ump.edu.my/id/eprint/40450/2/A%20new%20hybrid%20teaching%20learning%20based%20optimization%20-extreme%20learning%20machine%20model%20based%20intrusion-detection%20system_ABS.pdf
_version_ 1825815491026878464
author Alsudani, Mustafa Qahtan
Abbdal Reflish, Salah
Moorthy, Kohbalan
Adnan, Myasar Mundher
author_facet Alsudani, Mustafa Qahtan
Abbdal Reflish, Salah
Moorthy, Kohbalan
Adnan, Myasar Mundher
author_sort Alsudani, Mustafa Qahtan
collection UMP
description Currently, effective Intrusion-detection systems (IDS) still represent one of the important security tools. However, hybrid models based on the IDS achieve better results compared with intrusion detection based on a single algorithm. But even so, the hybrid models based on traditional algorithms still face different limitations. This work is focused on providing two main goals; firstly, analysis based on the main methods and limitations of the most-recent hybrid model-based on intrusion detection, secondly, to propose a novel hybrid IDS model called TLBO-ELM based on the Firefly algorithm and Fast Learning Network.
first_indexed 2024-09-25T03:48:03Z
format Article
id UMPir40450
institution Universiti Malaysia Pahang
language English
English
last_indexed 2024-09-25T03:48:03Z
publishDate 2023
publisher Elsevier Ltd
record_format dspace
spelling UMPir404502024-04-30T06:21:27Z http://umpir.ump.edu.my/id/eprint/40450/ A new hybrid teaching learning based optimization -extreme learning machine model based intrusion-detection system Alsudani, Mustafa Qahtan Abbdal Reflish, Salah Moorthy, Kohbalan Adnan, Myasar Mundher QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) Currently, effective Intrusion-detection systems (IDS) still represent one of the important security tools. However, hybrid models based on the IDS achieve better results compared with intrusion detection based on a single algorithm. But even so, the hybrid models based on traditional algorithms still face different limitations. This work is focused on providing two main goals; firstly, analysis based on the main methods and limitations of the most-recent hybrid model-based on intrusion detection, secondly, to propose a novel hybrid IDS model called TLBO-ELM based on the Firefly algorithm and Fast Learning Network. Elsevier Ltd 2023-01 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/40450/1/A%20new%20hybrid%20teaching%20learning%20based%20optimization%20-extreme.pdf pdf en http://umpir.ump.edu.my/id/eprint/40450/2/A%20new%20hybrid%20teaching%20learning%20based%20optimization%20-extreme%20learning%20machine%20model%20based%20intrusion-detection%20system_ABS.pdf Alsudani, Mustafa Qahtan and Abbdal Reflish, Salah and Moorthy, Kohbalan and Adnan, Myasar Mundher (2023) A new hybrid teaching learning based optimization -extreme learning machine model based intrusion-detection system. Materials Today: Proceedings, 80. pp. 2701-2705. ISSN 2214-7853. (Published) https://doi.org/10.1016/j.matpr.2021.07.015 https://doi.org/10.1016/j.matpr.2021.07.015
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
Alsudani, Mustafa Qahtan
Abbdal Reflish, Salah
Moorthy, Kohbalan
Adnan, Myasar Mundher
A new hybrid teaching learning based optimization -extreme learning machine model based intrusion-detection system
title A new hybrid teaching learning based optimization -extreme learning machine model based intrusion-detection system
title_full A new hybrid teaching learning based optimization -extreme learning machine model based intrusion-detection system
title_fullStr A new hybrid teaching learning based optimization -extreme learning machine model based intrusion-detection system
title_full_unstemmed A new hybrid teaching learning based optimization -extreme learning machine model based intrusion-detection system
title_short A new hybrid teaching learning based optimization -extreme learning machine model based intrusion-detection system
title_sort new hybrid teaching learning based optimization extreme learning machine model based intrusion detection system
topic QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
url http://umpir.ump.edu.my/id/eprint/40450/1/A%20new%20hybrid%20teaching%20learning%20based%20optimization%20-extreme.pdf
http://umpir.ump.edu.my/id/eprint/40450/2/A%20new%20hybrid%20teaching%20learning%20based%20optimization%20-extreme%20learning%20machine%20model%20based%20intrusion-detection%20system_ABS.pdf
work_keys_str_mv AT alsudanimustafaqahtan anewhybridteachinglearningbasedoptimizationextremelearningmachinemodelbasedintrusiondetectionsystem
AT abbdalreflishsalah anewhybridteachinglearningbasedoptimizationextremelearningmachinemodelbasedintrusiondetectionsystem
AT moorthykohbalan anewhybridteachinglearningbasedoptimizationextremelearningmachinemodelbasedintrusiondetectionsystem
AT adnanmyasarmundher anewhybridteachinglearningbasedoptimizationextremelearningmachinemodelbasedintrusiondetectionsystem
AT alsudanimustafaqahtan newhybridteachinglearningbasedoptimizationextremelearningmachinemodelbasedintrusiondetectionsystem
AT abbdalreflishsalah newhybridteachinglearningbasedoptimizationextremelearningmachinemodelbasedintrusiondetectionsystem
AT moorthykohbalan newhybridteachinglearningbasedoptimizationextremelearningmachinemodelbasedintrusiondetectionsystem
AT adnanmyasarmundher newhybridteachinglearningbasedoptimizationextremelearningmachinemodelbasedintrusiondetectionsystem