Improved hybrid teaching learning based optimization-jaya and support vector machine for intrusion detection systems

QR Code

Improved hybrid teaching learning based optimization-jaya and support vector machine for intrusion detection systems

Most of the currently existing intrusion detection systems (IDS) use machine learning algorithms to detect network intrusion. Machine learning algorithms have widely been adopted recently to enhance the performance of IDSs. While the effectiveness of some machine learning algorithms in detecting cer...

Full description

Bibliographic Details
Main Author:	Mohammad Khamees Khaleel, Alsajri
Format:	Thesis
Language:	English
Published:	2022
Subjects:	Q Science (General) QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/38456/ http://umpir.ump.edu.my/id/eprint/38456/1/Improved%20hybrid%20teaching%20learning%20based%20optimization-jaya%20and%20support%20vector%20machine%20for%20intrusion%20detection%20systems.ir.pdf

Similar Items

A Review on the Recent Application of Jaya Optimization Algorithm
by: Alsajri, Mohammad, et al.
Published: (2019)

Improved TLBO-JAYA Algorithm for Subset Feature Selection and Parameter Optimisation in Intrusion Detection System
by: Aljanabi, Mohammad, et al.
Published: (2020)

A novel local network intrusion detection system based on support vector machine
by: Mohammed, Muamer N., et al.
Published: (2011)

A new hybrid teaching learning based optimization -extreme learning machine model based intrusion-detection system
by: Alsudani, Mustafa Qahtan, et al.
Published: (2023)

Improved hybrid intelligent intrusion detection system using AI technique
by: Shanmugam, Bharanidharan, et al.
Published: (2007)

Fingertip detection using histogram of gradients and support vector machine
by: Sophian, Ali, et al.
Published: (2017)

Hybridization Of Optimized Support Vector Machine And Artificial Neural Network For The Diabetic Retinopathy Classification Problem
by: Kader, Nur Izzati Ab
Published: (2019)

Review on Intrusion Detection System Based on The Goal of The Detection System
by: Khaleel, M. K., et al.
Published: (2018)

Email categorization using support vector machine
by: Mohd. Daud, Mariah
Published: (2004)

Online handwriting recognition using support vector machine
by: Ahmad, Abdul Rahim, et al.
Published: (2004)

Rice Predictive Analysis Mechanism Utilizing Grey Wolf Optimizer-Least Squares Support Vector Machines
by: Zuriani, Mustaffa, et al.
Published: (2015)

Stock market predicton using support vector machines
by: Md. Sap, Mohd. Noor, et al.
Published: (2005)

Predicting uniaxial compressive strength using Support Vector Machine algorithm
by: Zakaria, Hafedz, et al.
Published: (2019)

One-class support vector machines for protein-protein interactions prediction
by: Alashwal, H., et al.
Published: (2006)

A hybrid entropy decomposition and support vector machine method for agricultural crop type classification
by: Tan, Chue Poh, et al.
Published: (2007)

An optimized feature set for anomaly-based intrusion detection / Wasswa Hassan
by: Wasswa, Hassan
Published: (2019)

Vader lexicon and support vector machine algorithm to detect customer sentiment orientation
by: Vivine Nurcahyawati, ., et al.
Published: (2023)

Improving anomalous rare attack detection rate for intrusion detection system using support vector machine and genetic programming
by: Mohd Pozi, Muhammad Syafiq, et al.
Published: (2016)

Waste classification using support vector machine with SIFT-PCA feature extraction
by: Puspaningrum, Adita Putri, et al.
Published: (2020)

A new model for iris data set classification based on linear support vector machine parameter's optimization
by: Faiz Hussain, Zahraa, et al.
Published: (2020)

Arabic language script and encoding identification with support vector machines and rough set theory
by: Mohamed Sidya, Mohamed Ould
Published: (2007)

comparative Analysis of Intrusion Detection Approaches
by: I., Ahmad, et al.
Published: (2010)

The state of the art in intrusion prevention and detection
Published: (2014)

Research issues in adaptive intrusion detection
by: Zainal, Anazida, et al.
Published: (2006)

A survey on MANET intrusion detection
by: Mandala, Satria, et al.
Published: (2008)

Short term forecasting based on hybrid least squares support vector machines
by: Zuriani, Mustaffa, et al.
Published: (2018)

Detection of DoS attacks using intrusion detection sensors
by: Maarof, Mohd. Aizaini, et al.
Published: (2002)

Model of Improved a Kernel Fast Learning Network Based on Intrusion Detection System
by: Ali, Mohammed Hasan, et al.
Published: (2019)

The hybrid feature selection technique using term frequency-inverse document frequency and support vector machine-recursive feature elimination for sentiment classification
by: Nur Syafiqah, Mohd Nafis
Published: (2022)

A super-peer architecture to improve intrusion detection and scalability in collaborative intrusion detection network
by: Bakhdlaghi, Yousef Abdullah
Published: (2020)

Automatic And Person-Independent Detection Of 3d Facial Expressions Using Enhanced Support Vector Machine With Probability Estimation
by: Abdullah, Amal Abdulaziz
Published: (2014)

Automatic And Person-Independent Detection Of 3d Facial Expressions Using Enhanced Support Vector Machine With Probability Estimation
by: Abdullah, Amal Abdulaziz
Published: (2014)

Utilizing Support Vector Machines to Recognize Pattern Numbers on Sheet C1 Ballots
by: Agustian, David, et al.
Published: (2022)

Investigating Supervised Neural Networks to Intrusion Detection
by: Iftikhar , Ahmad, et al.
Published: (2010)

Intrusion detection and prevention in wireless sensor networks
by: Abduvaliyev, Abror, et al.
Published: (2013)

Intrusion Detection Systems, Issues, Challenges, and Needs
by: Aljanabi, Mohammad, et al.
Published: (2021)

Comparison of domain and hydrophobicity features for the prediction of protein-protein interactions using support vector machines
by: Alashwal, Hany, et al.
Published: (2007)

Detection-criterion independent proof for digital watermark detection : a support vector machine approach
by: Then,, Patrick Hang Hui
Published: (2007)

Towards the Designing of a Robust Intrusion Detection System through an Optimized Advancement of Neural Networks
by: Ahmad, Iftikhar, et al.
Published: (2010)

Hybrid Biological Intrusion Prevention and Selfhealing System for Network Security
by: Muna, Elsadig, et al.
Published: (2010)