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

Detection of Phishing Websites Using Machine Learning | Python Final Year IEEE Project. 🛒Buy Link: https://bit.ly/3E9bjjl (or) To buy this project in ONLINE, Contact: 🔗Email: [email protected], 🌐Website: https://www.jpinfotech.org 📌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: #python #phishing #machinelearning #phishingattacks #phishingprotection #phishingattack #cybersecurity #websitesecurity #pythonprojects #machinelearningproject #pythonprogramming #pythonprojectforbeginners #pythonprojectideas #pythonmachinelearning #machinelearningpython #finalyearproject #ieeeprojects #finalyearprojects #datascience #datascienceproject #artificialintelligenceproject #projects #deeplearning #deeplearningproject #computerscienceproject #deeplearningprojects #majorprojects #academicprojects #majorprojects