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Phishing websites Detection by using Machine learning Techniques -- 2

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.

Kemahiran: Machine Learning (ML), Algoritma, Kriptografi, Keselamatan Komputer, Perlombongan Data

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Tentang Majikan:
( 2 ulasan ) Dublin, Ireland

ID Projek: #31049639

2 pekerja bebas membida secara purata €25 untuk pekerjaan ini

starktynt

Hello , I have read your requirements , I have experience in working with a model for phishing detection using nltk , I can complete your project within a week , I would love to discuss this more in chat , Thanks and Lagi

€30 EUR dalam 7 hari
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stevenmark097841

MACHINE LEARNING EXPERT 6 yrs EXPERIENCE HELLO, I have understood your SPECIFICATIONS for the task. I have over 6 YEARS’ experience in this field and have adverse experience since it is my area of specialization. My s Lagi

€19 EUR dalam 7 hari
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