Phishing Detection Method Using a Hybrid Method of Genetic Algorithm And Particle Swarm Optimization for Feature Selection and Classification Using Perceptron NeuralNetwork
General Material Designation
Dissertation
First Statement of Responsibility
Hamid Moammed Obad
.PUBLICATION, DISTRIBUTION, ETC
Name of Publisher, Distributor, etc.
Arak University
Date of Publication, Distribution, etc.
۱۴۰۱-۱۴۰۲
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
51 p.
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
M.Sc
Discipline of degree
Computer Engineering
Body granting the degree
Arak University
OTHER VARIANT TITLES
Variant Title
روش شناسایی حمله فیشینگ با بکارگیری روش ترکیبی الگوریتم ژنتیک و بهینهسازی ازدحام ذرات جهت انتخاب ویژگی و طبقهبندی با استفاده از شبکه عصبی پرسپترون
Other Title Information
اكتشاف مواقع التصيد الاحتيالي عن طريق اختيار الميزة بمساعدة الجمع بين خوارزمية تحسين الجسيمات وعلم الوراثة والتصنيف مع الإدراك متعدد الطبقات
TOPICAL NAME USED AS SUBJECT
Entry Element
Phishing Detection Method Using a Hybrid Method of Genetic Algorithm And Particle Swarm Optimization for Feature Selection and Classification Using Perceptron NeuralNetwork
Phishing, Deep Learning, Genetic Algorithm, Particle Swarm Optimization.