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
Phishing detection by classification of URLs using Machine learning Algorithms
Authors Name:
KESHAV GIRISH ADKAR
, Shaurya Agarwal
Unique Id:
IJSDR2306055
Published In:
Volume 8 Issue 6, June-2023
Abstract:
Since phishing does not initially appear to be malicious, it is difficult to track down or defend against. Additionally, the cost and difficulty of carrying out such attacks are significantly decliningf. As it is challenging to know if an URL is safe or not, we created a model which serves in classifying URLs into safe or legitimate class. URLs contain components of its page and hence are used to identify the purpose of the web page without checking its actual content. We are proposing a method based on a deep learning algorithm (Bi-Directional Long short term memory), which predicts the status of URL without the use of domain expertise or manual feature extraction with more significant accuracy points than already existing systems.
Keywords:
Phishing, deep learning; URL classification; cybercrime; recurrent neural networks; bidirectional long short term memory
Cite Article:
"Phishing detection by classification of URLs using Machine learning Algorithms", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 6, page no.392 - 394, June-2023, Available :http://www.ijsdr.org/papers/IJSDR2306055.pdf
Downloads:
000337351
Publication Details:
Published Paper ID: IJSDR2306055
Registration ID:206228
Published In: Volume 8 Issue 6, June-2023
DOI (Digital Object Identifier):
Page No: 392 - 394
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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