Detection of Phishing Websites Using Machine Learning | Python Final Year IEEE Project

Описание: Detection of Phishing Websites Using Machine Learning | Python Final Year IEEE Project.
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📌Project Title: Detection of Phishing Websites Using Machine Learning.
💡Implementation Code: Python.
🔬Algorithm / Model Used: Gradient Boosting Classifier.
🌐Web Framework: Flask.
🖥️Frontend: HTML, CSS, JavaScript.
💰Cost (In Indian Rupees): Rs.3000/.

📘Project Abstract:
👉In the method that is being presented, machine learning is used to create a revolutionary approach for detecting phishing websites.
👉Gradient Boosting Classifier is the model we utilized in our suggested strategy to identify phishing websites based on aspects of URL significance.
👉By extracting and comparing different characteristics between legitimate and phishing URLs, the suggested method uses gradient boosting classifier to identify phishing URLs.
👉The studies' findings demonstrate that the suggested approach successfully identifies legitimate websites from bogus ones in real time.

📌REFERENCE:
Dr.G.K.Kamalam, Dr.P.Suresh, R.Nivash, A.Ramya, G.Raviprasath, “Detection of Phishing Websites Using Machine Learning”, 2022 International Conference on Computer Communication and Informatics (ICCCI - 2022), IEEE Conference, 2022.

🏷️tags:
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