Email Phishing Detection Model using CNN Model
Phishing is the most common cybercrime tactic that convinces victims to divulge sensitive information, including passwords, account IDs, sensitive bank information, and dates of birth. Cybercriminals commonly use phone calls, text messages, and emails to launch these kinds of attacks. Despite con...
| Main Authors: | Gurumurthy, M., Chitra, K |
|---|---|
| Format: | Article |
| Language: | English English |
| Published: |
INTI International University
2024
|
| Subjects: | |
| Online Access: | http://eprints.intimal.edu.my/2093/ http://eprints.intimal.edu.my/2093/2/632 http://eprints.intimal.edu.my/2093/3/joit2024_43b.pdf |
Similar Items
Real time detection of phishing websites
by: Ahmed, Abdulghani Ali, et al.
Published: (2016)
by: Ahmed, Abdulghani Ali, et al.
Published: (2016)
Phishing website detection
by: Nur Sholihah, Zaini
Published: (2018)
by: Nur Sholihah, Zaini
Published: (2018)
Comparative performance of machine learning methods for classification on phishing attack detection
by: Siti Noranisah, Wan Ahmad, et al.
Published: (2020)
by: Siti Noranisah, Wan Ahmad, et al.
Published: (2020)
Feature-based phishing detection technique
by: Xin, Mei Choo, et al.
Published: (2016)
by: Xin, Mei Choo, et al.
Published: (2016)
Phishing Website Detection Technique Using Machine Learning
by: Nurul Amira, Mohd Zin
Published: (2022)
by: Nurul Amira, Mohd Zin
Published: (2022)
Website detection for phishing attack by using browser extension
by: Putera Nuriqmar Iskandar, Ahmad Basri
Published: (2018)
by: Putera Nuriqmar Iskandar, Ahmad Basri
Published: (2018)
PhishGuard: Machine learning-powered phishing URL detection
by: Murad, Saydul Akbar, et al.
Published: (2023)
by: Murad, Saydul Akbar, et al.
Published: (2023)
Machine learning technique for phishing website detection
by: Nurul Amira, Mohd Zin, et al.
by: Nurul Amira, Mohd Zin, et al.
Phishing attack detection using machine learning method
by: Jupin, John Arthur
Published: (2019)
by: Jupin, John Arthur
Published: (2019)
Types of anti-phishing solutions for phishing attack
by: Siti Hawa, Apandi, et al.
Published: (2020)
by: Siti Hawa, Apandi, et al.
Published: (2020)
Phishing Website Detection using Machine Learning
by: Padmini, Y, et al.
Published: (2024)
by: Padmini, Y, et al.
Published: (2024)
Phishing webpage detection using weighted URL tokens for identity keywords retrieval
by: Tan, Choon Lin, et al.
Published: (2017)
by: Tan, Choon Lin, et al.
Published: (2017)
A comparative analysis of metaheuristic algorithms in fuzzy modelling for phishing attack detection
by: Noor Syahirah, Nordin, et al.
Published: (2021)
by: Noor Syahirah, Nordin, et al.
Published: (2021)
Leaf disease detection in plant care using CNN architecture: AlexNet and ResNet-50 models
by: Ajra, Husnul, et al.
Published: (2024)
by: Ajra, Husnul, et al.
Published: (2024)
A hybridization of butterfly optimization algorithm and harmony search for fuzzy modelling in phishing attack detection
by: Noor Syahirah, Nordin, et al.
Published: (2023)
by: Noor Syahirah, Nordin, et al.
Published: (2023)
Comparative analysis of machine learning classifiers for phishing detection
by: Mohd Faizal, Ab Razak, et al.
Published: (2022)
by: Mohd Faizal, Ab Razak, et al.
Published: (2022)
Web Phishing Classification Model using Artificial Neural Network and Deep Learning Neural Network
by: Noor Hazirah, Hassan, et al.
Published: (2023)
by: Noor Hazirah, Hassan, et al.
Published: (2023)
Hybrid honey badger algorithm with artificial neural network (HBA-ANN) for website phishing detection
by: Muhammad Arif, Mohamad, et al.
Published: (2024)
by: Muhammad Arif, Mohamad, et al.
Published: (2024)
Oil palm tree detection and counting in aerial images based on faster R-CNN
by: Xinni, Liu, et al.
Published: (2020)
by: Xinni, Liu, et al.
Published: (2020)
Phishing Email Detection Technique by using Hybrid Features
by: Lew, May Form, et al.
Published: (2015)
by: Lew, May Form, et al.
Published: (2015)
Email categorization using support vector machine
by: Mohd. Daud, Mariah
Published: (2004)
by: Mohd. Daud, Mariah
Published: (2004)
An improved method using fuzzy system based on hybrid boahs for phishing attack detection
by: Noor Syahirah, Nordin
Published: (2022)
by: Noor Syahirah, Nordin
Published: (2022)
Email spam: A comprehensive review of optimize detection methods, challenges, and open research problems
by: Tusher, Ekramul Haque, et al.
Published: (2024)
by: Tusher, Ekramul Haque, et al.
Published: (2024)
Deep Learning-Based Predictive Modeling for Male Depression Detection
by: R. S. Lakshmi, Balaji, et al.
Published: (2025)
by: R. S. Lakshmi, Balaji, et al.
Published: (2025)
Pre-trained based CNN model to identify finger vein
by: Fairuz, Subha, et al.
Published: (2019)
by: Fairuz, Subha, et al.
Published: (2019)
Fuzzy modelling using firefly algorithm for phishing detection
by: Noor Syahirah, Nordin, et al.
Published: (2019)
by: Noor Syahirah, Nordin, et al.
Published: (2019)
Secured email using steganography / Syaiful Annuar Omar
by: Syaiful Annuar, Omar
Published: (2005)
by: Syaiful Annuar, Omar
Published: (2005)
Fuzzy modelling using butterfly optimization algorithm for
phishing detection
by: Noor Syahirah, Nordin, et al.
Published: (2020)
by: Noor Syahirah, Nordin, et al.
Published: (2020)
Car detection using cascade classifier on embedded platform
by: Zulkhairi, Muhammad Asyraf, et al.
Published: (2020)
by: Zulkhairi, Muhammad Asyraf, et al.
Published: (2020)
In-The-Wild deepfake detection using adaptable CNN models with visual class activation mapping for improved accuracy
by: Muhammad Salihin, Saealal, et al.
Published: (2023)
by: Muhammad Salihin, Saealal, et al.
Published: (2023)
A Convolutional Neural Network (CNN) Classification Model for Web Page: A Tool for Improving Web Page Category Detection Accuracy
by: Siti Hawa, Apandi, et al.
Published: (2023)
by: Siti Hawa, Apandi, et al.
Published: (2023)
A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework
by: Bari, Bifta Sama, et al.
Published: (2021)
by: Bari, Bifta Sama, et al.
Published: (2021)
Offline handwriting recognition using Artificial Neural Network and Hidden Markov Model
by: Tay, Yong Haur
Published: (2002)
by: Tay, Yong Haur
Published: (2002)
Investigation of Flood Monitoring & Detection System Using IoT Application
by: Muhammad Syafiq, Zainal, et al.
Published: (2022)
by: Muhammad Syafiq, Zainal, et al.
Published: (2022)
A hybrid deep CNN model for fast class-incremental food classification / Aymen Taher Ahmed al-Ashwal
by: Aymen Taher , Ahmed al-Ashwal
Published: (2019)
by: Aymen Taher , Ahmed al-Ashwal
Published: (2019)
Detection of arcing fault in underground distribution cable using artificial neural network
by: Chan, Wei Kian
Published: (2004)
by: Chan, Wei Kian
Published: (2004)
Review of the machine learning methods in the classification of phishing attack
by: Jupin, John Arthur, et al.
Published: (2019)
by: Jupin, John Arthur, et al.
Published: (2019)
Result comparison of model validation techniques on audio-visual speech recognition
by: Thum, Wei Seong, et al.
Published: (2017)
by: Thum, Wei Seong, et al.
Published: (2017)
Email spam classification based on deep learning methods: A review
by: Tusher, Ekramul Haque, et al.
Published: (2025)
by: Tusher, Ekramul Haque, et al.
Published: (2025)
Road damage detection for autonomous driving vehicles using YOLOv8 and salp swarm algorithm
by: Nik Ahmad Farihin, Mohd Zulkifli, et al.
Published: (2025)
by: Nik Ahmad Farihin, Mohd Zulkifli, et al.
Published: (2025)
Similar Items
-
Real time detection of phishing websites
by: Ahmed, Abdulghani Ali, et al.
Published: (2016) -
Phishing website detection
by: Nur Sholihah, Zaini
Published: (2018) -
Comparative performance of machine learning methods for classification on phishing attack detection
by: Siti Noranisah, Wan Ahmad, et al.
Published: (2020) -
Feature-based phishing detection technique
by: Xin, Mei Choo, et al.
Published: (2016) -
Phishing Website Detection Technique Using Machine Learning
by: Nurul Amira, Mohd Zin
Published: (2022)