1. Home
  2. Issues
  3. Volume 31, Issue 1 (2020)
  4. Comparison of Classification Algorithms ...

Informatica


Cited by 24
Comparison of Classification Algorithms for Detection of Phishing Websites

2022 5th International Conference on Information and Communications Technology (ICOIACT)
Anthony Chandra, Gregorius, M. S. John Immanuel, Alexander Agung Santoso Gunawan, Anderies
https://doi.org/10.1109/ICOIACT55506.2022.9972107
Conference  (2022), p. 24
2022 International Conference on Informatics Electrical and Electronics (ICIEE)
Bianca Chelsea Putri Nugroho, Josephine Florencia Chan, Valencia Vananda, Henry Lucky, Derwin Suhartono
https://doi.org/10.1109/ICIEE55596.2022.10009939
Conference  (2022), p. 1
2024 9th International Conference on Computer Science and Engineering (UBMK)
Samad Najjar-Ghabel, Shamim Yousefi, Payam Habibi
https://doi.org/10.1109/UBMK63289.2024.10773479
Conference  (2024), p. 1
2024 IEEE 6th Symposium on Computers & Informatics (ISCI)
Puteri Nursyawati Azzuri, Mohd Suffian Sulaiman
https://doi.org/10.1109/ISCI62787.2024.10667704
Conference  (2024), p. 230
2025 IEEE 5th International Conference on Power, Electronics and Computer Applications (ICPECA)
Cao Luping, Guo Pengfei
https://doi.org/10.1109/ICPECA63937.2025.10928826
Conference  (2025), p. 575
A Machine Learning Approach for Phishing Websites Prediction with Novel Feature Selection Framework
Pankaj Bhowmik, Pulak Chandra Bhowmik
https://doi.org/10.1007/978-981-19-2445-3_24
Book  Lecture Notes in Networks and Systems (Proceedings of International Conference on Fourth Industrial Revolution and Beyond 2021) Volume 437 (2022), p. 357
An Empirical Feature Selection Approach for Phishing Websites Prediction with Machine Learning
Pankaj Bhowmik, Md. Sohrawordi, U. A. Md. Ehsan Ali, Pulak Chandra Bhowmik
https://doi.org/10.1007/978-3-031-17181-9_14
Book  Communications in Computer and Information Science (Bangabandhu and Digital Bangladesh) Volume 1550 (2022), p. 173
Composition of Ensembles of Recurrent Neural Networks for Phishing Websites Detection
Paulius Vaitkevicius, Virginijus Marcinkevicius
https://doi.org/10.1007/978-3-030-57672-1_22
Book  Communications in Computer and Information Science (Databases and Information Systems) Volume 1243 (2020), p. 297
Efficient Malicious Website Detection Technique Using Stacking Ensemble of Machine Learning Models
Kartik Rajput, Manjesh Singh, Arjun Rawat, Raman Tyagi, Jolly Parikh, Rachna Jain
https://doi.org/10.1007/978-981-97-4149-6_17
Book  Lecture Notes in Networks and Systems (Innovative Computing and Communications) Volume 1038 (2024), p. 233
Exploring GRU-based approaches with attention mechanisms for accurate phishing URL detection
Jishnu K S, Arthi B
https://doi.org/10.3233/IDT-240026
Journal  Intelligent Decision Technologies Volume 18, Issue 2 (2024), p. 1029
Intelligent feature selection model based on particle swarm optimization to detect phishing websites
Theyab R. Alsenani, Safial Islam Ayon, Sayeda Mayesha Yousuf, Fahad Bin Kamal Anik, Mohammad Ehsan Shahmi Chowdhury
https://doi.org/10.1007/s11042-023-15399-6
Journal  Multimedia Tools and Applications Volume 82, Issue 29 (2023), p. 44943
Machine Learning-Based Phishing Detection Using URL Features: A Comprehensive Review
Asif Uz Zaman Asif, Hossein Shirazi, Indrakshi Ray
https://doi.org/10.1007/978-3-031-44274-2_36
Book  Lecture Notes in Computer Science (Stabilization, Safety, and Security of Distributed Systems) Volume 14310 (2023), p. 481
Machine Learning-Based Phishing Websites Classification Using Diverse Datasets
Shahab Haider, Bilal Khan, Wahab Khan, Sana Ullah, Zulfiqar Ali
https://doi.org/10.4018/979-8-3373-1424-2.ch006
Book  (2025), p. 155
NETWORK INTRUSION DETECTION USING HYBRID MACHINE LEARNING METHODS
Karina Čiurlienė, Denisas Stankevičius
https://doi.org/10.3846/mla.2023.19385
Journal  Mokslas - Lietuvos ateitis Volume 15 (2023), p. 1
On Phishing URL Detection Using Feature Extension
Daojing He, Zhihua Liu, Xin Lv, Sammy Chan, Mohsen Guizani
https://doi.org/10.1109/JIOT.2024.3446894
Journal  IEEE Internet of Things Journal Volume 11, Issue 24 (2024), p. 39527
Online Detection and Infographic Explanation of Spam Reviews with Data Drift Adaptation
Francisco de Arriba-Pérez   Silvia García-Méndez   Fátima Leal   Benedita Malheiro   Juan C. Burguillo  
https://doi.org/10.15388/24-INFOR562
Pub. online: 17 Jun 2024      Type: Research Article      Open accessOpen Access
Journal:  Informatica Volume 35, Issue 3 (2024), pp. 483–507
   Abstract
Optimized Phishing Detection with Recurrent Neural Network and Whale Optimizer Algorithm
Brij Bhooshan Gupta, Akshat Gaurav, Razaz Waheeb Attar, Varsha Arya, Ahmed Alhomoud, Kwok Tai Chui
https://doi.org/10.32604/cmc.2024.050815
Journal  Computers, Materials & Continua Volume 80, Issue 3 (2024), p. 4895
Overview of Machine Learning Process Modelling
Boštjan Brumen, Aleš Černezel, Leon Bošnjak
https://doi.org/10.3390/e23091123
Journal  Entropy Volume 23, Issue 9 (2021), p. 1123
Performance Evaluation of Phishing Classification Techniques on Various Data Sources and Schemes
Rahmad Abdillah, Zarina Shukur, Masnizah Mohd, T. S. Mohd Zamri Murah, Insu Oh, Kangbin Yim
https://doi.org/10.1109/ACCESS.2022.3225971
Journal  IEEE Access Volume 11 (2023), p. 38721
Phishing Classification Techniques: A Systematic Literature Review
Rahmad Abdillah, Zarina Shukur, Masnizah Mohd, Ts. Mohd Zamri Murah
https://doi.org/10.1109/ACCESS.2022.3166474
Journal  IEEE Access Volume 10 (2022), p. 41574
Smart Patrolling Based on Spatial-Temporal Information Using Machine Learning
Cesar Guevara, Matilde Santos
https://doi.org/10.3390/math10224368
Journal  Mathematics Volume 10, Issue 22 (2022), p. 4368
Stop-Phish: an intelligent phishing detection method using feature selection ensemble
A. V. Ramana, K. Lakshmana Rao, Routhu Srinivasa Rao
https://doi.org/10.1007/s13278-021-00829-w
Journal  Social Network Analysis and Mining Volume 11, Issue 1 (2021)
URL filtering using machine learning algorithms
Asia Othman Aljahdalic, Shoroq Banafee, Thana Aljohani
https://doi.org/10.1080/19393555.2023.2193350
Journal  Information Security Journal: A Global Perspective Volume 33, Issue 3 (2024), p. 193
eHTrust: Model for Trust Evaluation in Content-Driven Health Websites
Sarika Agarwal, Himani Bansal
https://doi.org/10.1007/s11042-024-19621-x
Journal  Multimedia Tools and Applications Volume 83, Issue 39 (2024), p. 86425


Share


RSS