Open Access Helper

OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Detecting Phishing Domains Using Machine Learning
Shouq Mohsen Alnemari, Majid Alshammari
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 4649-4649
Open Access | Times Cited: 49

Showing 26-50 of 49 citing articles:

An Investigation into the Performances of the State-of-the-art Machine Learning Approaches for Various Cyber-attack Detection: A Survey
Tosin Ige, Christophet Kiekintveld, Aritran Piplai
(2024)
Open Access
Anti-Phishing approach for IoT system in Fog networks based on machine learning algorithms
M. Awwad, Mohamed M. Ashour, El Said A. Marzouk, et al.
مجلة کلية دار العلوم (2024) Vol. 49, Iss. 3
Open Access
Safeguarding Cyber Ecosystems: Machine Learning and Data Mining Approaches for Proactive Phishing Detection in Websites
Santosh S. Bagewadi
International Journal for Research in Applied Science and Engineering Technology (2024) Vol. 12, Iss. 12, pp. 2974-2980
Open Access
PHISHEILD WEBSITE DETECTION SYSTEM FOR SAFEGUARDING ONLINE SECURITY
Dheer Bauva, Vineet Parmar, Yash Wadajkar, et al.
ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY (2024) Vol. 10, Iss. 1, pp. 9-13
Open Access
An Effective Way to Detect Phishing Website Using Machine Learning
Toyeer-E-Ferdoush, Mst. Sumaiya Shorab, Saima Akter Ritu
(2024), pp. 1205-1210
Closed Access
Anti-Phishing: A Web Identifier for Spoofed Sites Using Neural Network
A P Akshatha
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2024) Vol. 08, Iss. 05, pp. 1-5
Open Access
A Study On Predictive Modeling for Niche Website Success
E. Kamalanaban, J. Senthil Murugan, Shivani Vasan, et al.
2 (2024) Vol. 4, Iss. 2, pp. 23-29
Open Access
Machine Learning - Driven Approaches for Detection and Analysis of Phishing attacks: A Robust Framework for Cybersecurity
N. D. S. S. Sarvan, Venkata Sai Ram Reddy, Darshan Jain, et al.
2022 International Conference on Inventive Computation Technologies (ICICT) (2024)
Closed Access
A Developed Model Based on Machine Learning Algorithms for Phishing Website Detection
Hussein Abdel-Jaber, Hussein Al Bazar, Muawya Naser
Recent Advances in Computer Science and Communications (2024) Vol. 18, Iss. 2
Closed Access
Phishing URL Detection Using Machine Learning and Deep Learning
Rawshon Ferdaws, Nahid Ebrahimi Majd
2022 IEEE World AI IoT Congress (AIIoT) (2024), pp. 0485-0490
Closed Access
Phishing Website Detection Using Improved Multilayered Convolutional Neural Networks
Hadia Bibi, Syed Rehan Shah, Mirza Murad Baig, et al.
Journal of Computer Science (2024) Vol. 20, Iss. 9, pp. 1069-1079
Open Access
A Predictive Model for Phishing Attacks on Mobile Intelligent Agent Systems
Mashako D. Manyama, Okuthe P. Kogeda
Lecture notes in computer science (2024), pp. 113-128
Closed Access
An Investigation into the Performances of the State-of-the-art Machine Learning Approaches for Various Cyber-attack Detection: A Survey
Tosin Ige, Christophet Kiekintveld, Aritran Piplai
(2024), pp. 135-144
Open Access
Ensemble-Based Dynamic Phishing Domain Detection in Web Browsing Extensions
Rajesh Nachiappa Ganesh, Johnvich Daniel Jacob N, S Harisudhan, et al.
(2024) Vol. 3, Iss. 3, pp. 124-135
Closed Access
A Hybrid Framework for Improved Weighted Quantum Particle Swarm Optimization and Fast Mask Recurrent CNN to Enhance Phishing-URL Prediction Performance
S. Senthil Kumar, Prakash Muthusamy, Michael Jerald
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access
Analysis of Fraud Attacks Using Android Package Kit in Indonesia
Sopian Amir, Dimas Febriyan Priambodo, Abdul Azzam Ajhari, et al.
(2024), pp. 285-290
Closed Access
Development of Proposed Model Using Random Forest with Optimization Technique for Classification of Phishing Website
Prakash Pathak, Akhilesh Kumar Shrivas
SN Computer Science (2024) Vol. 5, Iss. 8
Closed Access
Phishing URL Detection: Leveraging Machine Learning for Improved Security Measures
Abhay Chheda, Riddhi Kumbhani, Vansh Gala, et al.
Communications in computer and information science (2024), pp. 179-192
Closed Access
A Comparative Insight into Machine Learning Strategies for Phishing Website Identification
Preet Singh, Taniya Hasija, KR Ramkumar
2022 7th International Conference on Communication and Electronics Systems (ICCES) (2024), pp. 1186-1191
Closed Access
Artificial Intelligence in Cybersecurity: A Review and a Case Study
Selçuk Ökdem, Sema Okdem
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10487-10487
Open Access
Secure Mobile Application for Uniform Resource Locator (URL) Phising Detection based on Deep Learning
Ihsan Fadli Tampati, I Komang Setia Buana, Hermawan Setiawan
(2023), pp. 231-236
Closed Access | Times Cited: 1
Phishing Detection Using Deep Learning and Machine Learning Algorithms: Comparative Analysis
Betiel Tesfom, Feven Belay, S. Sam Daniel, et al.
2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) (2023), pp. 0684-0689
Closed Access
Detecto: The Phishing Website Detection
Prajapati Ashish, Jyoti Kukade, Akshat Shukla, et al.
Lecture notes in networks and systems (2023), pp. 115-129
Closed Access
Phishing URL Detection and Reporting System Using Machine Learning Approach
D. Aman, Jayasri Reddy, B. Manoj Sai, et al.
(2023), pp. 329-334
Closed Access
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