Fuzzy modelling using butterfly optimization algorithm for
phishing detection

QR Code

Fuzzy modelling using butterfly optimization algorithm for phishing detection

Fuzzy system is a rule-based system by using human experts which hold the truth values or membership values to make a particular decision while fuzzy modelling is a process of identifying the fuzzy parameter. However, it is difficult to generate fuzzy parameter manually when applied on complex probl...

Full description

Bibliographic Details
Main Authors:	Noor Syahirah, Nordin, Mohd Arfian, Ismail, Nurul Aswa, Omar
Format:	Article
Language:	English
Published:	World Academy of Research in Science and Engineering 2020
Subjects:	QA Mathematics QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/30869/ http://umpir.ump.edu.my/id/eprint/30869/1/Paper_MCP19006.pdf

Similar Items

A hybridization of butterfly optimization algorithm and harmony search for fuzzy modelling in phishing attack detection
by: Noor Syahirah, Nordin, et al.
Published: (2023)

Fuzzy modelling using firefly algorithm for phishing detection
by: Noor Syahirah, Nordin, et al.
Published: (2019)

A comparative analysis of metaheuristic algorithms in fuzzy modelling for phishing attack detection
by: Noor Syahirah, Nordin, et al.
Published: (2021)

Types of anti-phishing solutions for phishing attack
by: Siti Hawa, Apandi, et al.
Published: (2020)

Real time detection of phishing websites
by: Ahmed, Abdulghani Ali, et al.
Published: (2016)

Comparative performance of machine learning methods for classification on phishing attack detection
by: Siti Noranisah, Wan Ahmad, et al.
Published: (2020)

An improved method using fuzzy system based on hybrid boahs for phishing attack detection
by: Noor Syahirah, Nordin
Published: (2022)

Improved intrusion detection algorithm based on TLBO and GA algorithms
by: Aljanabi, Mohammad, et al.
Published: (2021)

PhishGuard: Machine learning-powered phishing URL detection
by: Murad, Saydul Akbar, et al.
Published: (2023)

Phishing attack detection using machine learning method
by: Jupin, John Arthur
Published: (2019)

Model for phishing websites classification using artificial neural network
by: Hassan, N. H., et al.
Published: (2021)

An enhanced model to increase awareness on phishing attacks for vocational students
by: Mohd Sarifuddin, Othman@Mustafa, et al.
Published: (2019)

Phishing Website Detection using Machine Learning
by: Padmini, Y, et al.
Published: (2024)

An Enhanced Model for Increasing Awareness of Vocational Students Against Phishing Attacks
by: Mohd Sarifuddin, Othman@Mustafa, et al.
Published: (2019)

A comparative analysis on artificial intelligence techniques for web phishing classification
by: Tengku Balqis, Tengku Abd Rashid, et al.
Published: (2020)

Enhancing the Awareness Level on Phishing Attacks Among Malaysians: Analysis and Recommendations
by: Mohd Sarifuddin, Othman@Mustafa, et al.
Published: (2018)

Fuzzy modeling using Bat Algorithm optimization for classification
by: Noor Amidah, Ahmad Sultan
Published: (2018)

Neural networks optimization through genetic algorithm searches: A review
by: Chiroma, Haruna, et al.
Published: (2017)

Comparative analysis of machine learning classifiers for phishing detection
by: Mohd Faizal, Ab Razak, et al.
Published: (2022)

Newton competitive genetic algorithm method for optimization the production of biochemical systems
by: Mohd Arfian, Ismail, et al.
Published: (2018)

Software module clustering based on the fuzzy adaptive teaching learning based optimization algorithm
by: Kamal Z., Zamli, et al.
Published: (2019)

Phishing website detection
by: Nur Sholihah, Zaini
Published: (2018)

Web Phishing Classification Model using Artificial Neural Network and Deep Learning Neural Network
by: Noor Hazirah, Hassan, et al.
Published: (2023)

Android mobile malware detection using Fuzzy AHP
by: Juliza, Mohamad Arif, et al.
Published: (2021)

Data mining in network traffic using fuzzy clustering
by: Mohamad, Shamsul
Published: (2003)

Smell Phishy : A 2d Platform Game For Phishing Awareness
by: Ng, Man Teng
Published: (2023)

Review of the machine learning methods in the classification of phishing attack
by: Jupin, John Arthur, et al.
Published: (2019)

Smart object detection using deep learning algorithm and jetson nano for blind people
by: Tan, Mei Yan, et al.
Published: (2021)

FLGA Traffic Controller With Fuzzy Logic Algorithm: Fuzzy Traffic Controller
by: Lim, Khai Teng
Published: (2003)

A new online updating framework for constructing monotonicity-preserving Fuzzy Inference Systems
by: Kai, Meng Tay, et al.
Published: (2013)

Ransomware: Stages, detection and evasion
by: Yus Kamalrul, Mohamed Yunus, et al.
Published: (2021)

Feature-based phishing detection technique
by: Xin, Mei Choo, et al.
Published: (2016)

An experimental study of a fuzzy adaptive emperor penguin optimizer for global optimization problem
by: Kader, Md. Abdul, et al.
Published: (2022)

Optimization of ship routing using hybrid genetic algorithm / Ismail
by: ., Ismail
Published: (2014)

Back Propagation Algorithm-Based Intelligent Model for Botnet Detection
by: Nik Quosthoni, Sunaidi, et al.
Published: (2018)

Machine learning technique for phishing website detection
by: Nurul Amira, Mohd Zin, et al.

Opposition-based Whale Optimization Algorithm
by: Alamri, Hammoudeh S., et al.
Published: (2018)

Enhancing generic code clone detection model for C based application
by: Ainun Syahirah, Adnan
Published: (2019)

A novel algorithm : apriori-ant. The combination of apriori algorithm and ants colony optimization algorithm
by: Choo, Ai Ling
Published: (2005)

Evaluating Machine Learning Algorithms for Fake Currency Detection
by: Keerthana, S.N, et al.
Published: (2024)