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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      1 Jan 2023, Volume 38 Issue 1   
    Article

    1. DETECTING PHISHING WEBSITES USING RANDOM FOREST ALGORITHM
    Dr.V.Rameshbabu1, S. Mohan1, Dr.D.Usha1 Neha Kumari2, Pushpamitra.P2,Raafia Fathima.Y2
    Journal of Data Acquisition and Processing, 2023, 38 (1):1707-1718 . 

    Abstract

    Phishing is a technique used by hackers or attackers to trick users into inserting their sensitive credentials such as usernames, passwords, and credit card details into an unauthenticated entity, such as such as website. In this type of attack, unauthenticated entities disguise themselves as authentic and trusted entities. Sources are fooled by the look and feel of the fake website which closely resembles the legitimate website. Phishing is a type of cybercriminal that tries to get important or confidential information from users, this is usually achieved by creating a fake website that mimics a legitimate website. Phishing attacks use a variety of techniques such as link manipulation, filter avoidance, site spoofing, hidden redirects, and social engineering. Scammers use social engineering to trick victims or set up fake websites to steal personal and organizational information such as account IDs, usernames, and passwords.

    Keyword

    Phishing, Personal information, Machine Learning, Malicious links, Phishing domain characteristics.


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ISSN 1004-9037

         

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