Cyber Hacking Breaches Prediction and Detection Using Machine Learning | Python Final Year Project
Cyber Hacking Breaches Prediction and Detection Using Machine Learning | Python IEEE Project. 🛒Buy Link: https://bit.ly/47c3l5q (or) To buy this project in ONLINE, Contact: 🔗Email: [email protected], 🌐Website: https://www.jpinfotech.org 🔬Our Proposed Project Title: Enhancing Cybersecurity: Predicting and Detecting Cyber Hacking Breaches Using Machine Learning and Random Forest Classifier. 💡Implementation Code: Python. 🔬Algorithm / Model Used: Random Forest Classifier. 🌐Web Framework: Flask. 🖥️Frontend: HTML, CSS, JavaScript. 💰Cost (In Indian Rupees): Rs.3000/. 📘Project Abstract: 👉In an era where cybersecurity threats have become increasingly sophisticated, the need for robust prediction and detection systems to safeguard against cyber hacking breaches is paramount. This project presents a novel approach to address this concern, employing Machine Learning techniques, specifically the Random Forest Classifier, to predict and detect potential cyber hacking breaches. 👉Implemented in Python, the proposed system utilizes a carefully curated dataset of 5457 URLs, encompassing 87 extracted features. Crucially, the dataset maintains a balanced composition, precisely divided between 50% phishing and 50% legitimate URLs. The project's primary focus lies in accurately identifying cyber threats while minimizing false positives. Through rigorous training and evaluation, the achieved results demonstrate the system's remarkable performance. 👉The Random Forest Classifier attains a commendable training accuracy of 99%, ensuring its ability to discern patterns and distinguish between legitimate and malicious URLs. The model also showcases a robust test accuracy of 91%, further validating its reliability in real-world scenarios. 📌IEEE Base Paper Title: Cyber Hacking Breaches Prediction and Detection Using Machine Learning. 📌REFERENCE: K Pujitha; Gorla Nandini; K V Teja Sree; Banda Nandini; Dhodla Radhika, “Cyber Hacking Breaches Prediction and Detection Using Machine Learning”, 2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN), IEEE Conference, 2023. 🏷️tags: #python #pythonprojects #machinelearningproject #pythonprogramming #pythonprojectforbeginners #pythonprojectideas #pythonmachinelearning #machinelearning #machinelearningpython #finalyearproject #ieeeprojects #finalyearprojects #datascience #datascienceproject #artificialintelligenceproject #projects #deeplearning #deeplearningproject #computerscienceproject #deeplearningprojects #majorprojects #academicprojects #majorproject #cybersecurity #cyberhack
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