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Phishing websites Detection by using Machine learning Techniques

Phishing attack is a simplest way to obtain sensitive information from innocent users. Aim of the phishers is to acquire critical information like username, password and bank account details. Cybersecurity persons are now looking for trustworthy and steady detection techniques for phishing websites detection. This paper deals with machine learning technology for detection of phishing URLs by extracting and analyzing various features of legitimate and phishing URLs. Decision Tree, random forest and support vector machine

algorithms are used to detect phishing websites. Aim of the paper is to detect phishing URLs as well as narrow them down to best machine learning algorithm by comparing the accuracy rate, false positive and false negative rate of each algorithm.

Evner: Machine Learning (ML), Algoritme, Kryptografi, Computer Sikkerhed, Datasøgning

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Projekt ID: #31047769

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7 freelancere byder i gennemsnit €166 timen for dette job

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danilamakarov01

Dear, sir. I am a software engineer. I just read your requirement, and I am ready for you now. Thank you!

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Sam0072

I am a machine learning engineer having 5+ year of experience. My skills-- Machine learning,deep learning,image processing,Open CV, kaggle project, python, R, data analysis, software development. Deploy ml models to Flere

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shurarysmendiyev

Hello. I have many experience in machine learning I read the description of project carefully. I want to discuss about the project more. If you give me this project, I will do my best and you will get perfect result. W Flere

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