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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Published Paper Details:
Paper Title
PHISH CATCH: MACHINE LEARNING WAY OF DETECTING PHISHING WEBSITES
Authors
Sahil Hussain
Keywords
Phishing, Machine Learning, SVM, Decision Tree, Random Forest, Internet, Security
Abstract
With the advent of 4G technology, the internet became available to masses. Everyone started to use internet services in different spheres of their life, making them vulnerable to diverse threats. One of the primary risks for internet users is Phishing Websites. Instead of breaching the security of systems phishing websites try to fool the users and make them give away the credentials which they are not supposed to share with anyone. In this study, we took 21 features and tried to predict their class i.e
legitimate or phish using a supervised learning algorithm
IJCRT's Publication Details
Unique Identification Number - IJCRT2009514
Paper ID - 199258
Page Number(s) - 4008-4014
Pubished in - Volume 8 | Issue 9 | September 2020
DOI (Digital Object Identifier) - http://doi.one/10.1729/Journal.24634
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Sahil Hussain, "PHISH CATCH: MACHINE LEARNING WAY OF DETECTING PHISHING WEBSITES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 9, pp.4008-4014, September 2020, Available at :http://www.ijcrt.org/papers/IJCRT2009514.pdf
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Volume 12 | Issue 7
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Volume 12 | Issue 7
Last Date :
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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