INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
A comprehensive Review on phishing website detection using machine learning and deep learning techniques.
Authors Name:
Hajara Musa
, A Y gital , Usman Ali A , A M kwami
Unique Id:
IJSDR2302034
Published In:
Volume 8 Issue 2, February-2023
Abstract:
Nowadays there is extensive growth in the number of internet users, a lots of our daily life operations move to the cyber world such as communication, commerce, banking, registrations, applications, etc. and the criminal peoples (phishers) also move to cyber world and make their threats and crimes easily. To ensure the security and privacy of cyber data, technology must be used and organized carefully by using Cyber Security. This research focus on the reviewing the state of art techniques for phishing detection using different models in traditional and deep learning algorithms. It’s also identified the solution for detecting phishing website, comparative analysis of detecting using different approach. This paper point out the approach proposed by different researchers. It then provides a discussion on the limitations of the techniques.
Keywords:
machine leaning algorithms, deep learning algorithms, nature inspired algorithms, hybrid deep learning algorithms,
Cite Article:
"A comprehensive Review on phishing website detection using machine learning and deep learning techniques.", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 2, page no.188 - 198, February-2023, Available :http://www.ijsdr.org/papers/IJSDR2302034.pdf
Downloads:
000337212
Publication Details:
Published Paper ID: IJSDR2302034
Registration ID:203837
Published In: Volume 8 Issue 2, February-2023
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.32945
Page No: 188 - 198
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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